Manifold Learning Algorithms Jobs in Usa

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AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
✦ New
🏢 Enigma
Salary not disclosed

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA


Title: AI Research Scientist

Location: San Jose, CA


Responsibilities:

  • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
  • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
  • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
  • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
  • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
  • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
  • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
  • Contribute to academic publications and represent the company in research communities, as needed.


Educational Qualifications:

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
  • Candidates with a master’s degree and exceptional research or industry experience will also be considered.


Industry Experience:

  • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
  • Demonstrated success in delivering research-driven solutions that have been deployed in production.
  • Experience collaborating in cross-functional teams across research, engineering, and product.
  • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.


Technical Skills:

  • Strong foundational knowledge in machine learning and deep learning algorithms.
  • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
  • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
  • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
  • Advanced programming skills in Python (preferred), C++, or Java.
  • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
  • Strong mathematical foundations in probability, linear algebra, and calculus.
  • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
  • Ability to translate research insights into roadmaps, technical specifications, and product improvements.


AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA


Remote working/work at home options are available for this role.
Not Specified
Radar Systems Engineer (Algorithms)
✦ New
Salary not disclosed
Mountain View, CA 1 day ago

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we're responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we're making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.

Responsibilities

In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform.

Basic Success Criteria

  • Electrical Engineering fundamentals, typically gained through a Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline

  • 8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system

  • Ability to use C++, Matlab and Python (Python preferred)

  • Ability to troubleshoot, find root cause, and resolve issues

  • Pulsed and FMCW processing algorithm development

  • Experience in airborne radar testing and development

Preferred Criteria

  • Advanced Degree of Science or Electrical Engineering

  • Experience developing system architectures and managing requirements for certification of Avionics

  • Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data

  • Experience integrating and troubleshooting various electronic sensors and components

  • Weather radar experience, airborne or ground-based

  • Real beam radar imaging, and or SAR processing

This role can be remote, or located at our facility in Mountain View, California.

Must be willing to travel 30% of the time.

The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $180K - $260K

Apply for this Job
Not Specified
DSP Algorithm Engineer (Mid-Level or Lead)
✦ New
🏢 Boeing
Salary not disclosed
Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Defense, Space and Security is seeking DSP Algorithms Engineers (Mid-Level or Lead) to join the Space, Intelligence and Weapons Systems teams in El Segundo, CA! Boeing's Space, Intelligence and Weapons Systems oversees the company's major commercial and government satellite and ground programs for communications, national defense, and other missions.

As a DSP Algorithms Engineer, you will design and develop state-of-the-art, space-based communication systems for commercial, civil and/or national security programs. You will be part of a highly-motivated team that works with domestic or international customers on their latest satellite systems.

Project assignments typically span the unit life cycle, from internal trades, concept studies and system definition, to satellite unit development and test. Candidates will belong to a systems engineering team interacting with customers, suppliers, program management, integration and test engineers, and senior technologists.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the El Segundo, CA, location.

This worksite participates in Boeing's optional 9/80 schedule rotation. 9/80 is a rotation in which employees can work 9 hour shifts, 8 days per pay period (bi-weekly) and receive every other Friday off.

Position Responsibilities:

- Designing and developing next generation RF and digital satellite communication systems

- Developing and verifying multi-rate, fixed-point signal processing algorithms

- Conducting performance analysis of signal processing models

- Performing waveform development and characterization

- Performing trade studies

- Supporting integration ant test of our payloads and spacecraft from unit level through in-orbit operations

- Supporting HDL-level design and verification

- Performing detailed system design and verification activities

Basic Qualifications (Required Skills/Experience):

- Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

- Experience in one or more of the following: digital communication theory and systems, digital signal processing (DSP), algorithm design and implementation, or systems engineering principles.

- 1+ years of experience with Matlab or Simulink.

- 3+ years of experience in Digital Signal Processing or Digital Communications.

- 1+ years of experience in systems engineering concepts (requirements definition, allocation, verification, architecture design and trade design).

Preferred Qualifications (Desired Skills/Experience):

- Mid-level: 3 or more years' related work experience or an equivalent combination of education and experience

- Lead Level: 5 or more years' related work experience or an equivalent combination of education and experience

- Experience working with ASICs or FPGAs

- Experience with performance characteristics of analog electronics or data converters (ADCs / DACs)

- Experience with digital/RF lab equipment (oscilloscope, signal generator, spectrum analyzer)

- 3+ years of experience with Matlab and/or Simulink

- 5+ years of experience in digital signal processing or digital communications

- 3+ years of experience in systems engineering concepts (requirements definition, allocation, verification, architecture design and trade design)

- Leading teams

- Leading IR&D activities

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Relocation:

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range for Mid-level (Level 3): $119,850 - $162,150

Summary Pay Range for Lead level (Level 4): $146,200 - $197,800

Applications for this position will be accepted until Mar. 30, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
permanent
Research Engineer - Applied Machine Learning
✦ New
Salary not disclosed
Ashburn, VA 1 day ago

Research Engineer – Applied Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.


Responsibilities:

• Prototype and optimize algorithms in computer vision and machine learning.

• Build scalable training and inference pipelines on cloud platforms (AWS EKS).

• Perform data curation, model evaluation, and system integration.

• Collaborate with academic and government research partners.


Requirements:

• BS or MS in Computer Science, Engineering, Applied Math, or related field.

• Experience with PyTorch or TensorFlow and scalable model training.

• Strong background in algorithms and software design.

• Excellent communication and technical writing skills.

• U.S. Citizen or Permanent Resident.


Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).

• Familiarity with Kubernetes and distributed data systems.


Why Novateur?

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.


Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Not Specified
Machine Learning Engineer, tvScientific
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific


tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.



We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.



What you'll do:



  • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  • Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  • Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team


What we're looking for:



  • Strong production Python skills and experience building simulation or modeling systems
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  • Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  • Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  • Clear written communication: you'll be defining new technical directions and need to bring others along
  • Ownership: you scope, design, and ship systems end-to-end with minimal direction
  • Nice-to-Haves:

    • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    • Reinforcement learning - using simulated environments for policy learning and evaluation
    • Experience building agentic AI systems or multi-agent simulations
    • Big data experience with Scala and Spark
    • Systems programming experience in Zig or similar (C, C++, Rust)
    • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS




In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-SM4


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$123,696—$254,667 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Sr. Machine Learning Engineer, tvScientific
🏢 Pinterest
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific


tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.



As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.



What you'll do:



  • Write production Python that powers real-time bidding, model training, and campaign optimization
  • Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  • Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  • Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  • Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  • Serve as a technical lead and mentor on a distributed engineering team


What we're looking for:



  • Strong production Python skills: you write code that runs in prod, not just notebooks
  • Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  • Familiarity with modern AI tools and good judgment about where they add value
  • Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  • Clear written communication: we're a distributed team and writing is how decisions get made
  • Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  • Nice-to-Haves:

    • Teaching experience
    • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    • Big data experience with Scala and Spark
    • Systems programming experience in Zig or similar (C, C++, Rust)
    • Reinforcement learning or bandit algorithms in production
    • Experience building agentic AI systems or LLM-powered workflows
    • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS




In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.


#LI-SM4


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$155,584—$320,320 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics -Advanced Bioimaging Center - Department of Molecular and Cell Biology
✦ New
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Position title:
Project Scientist

Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700.

Percent time:
100%

Anticipated start:
Winter/Spring 2026

Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.

Application Window


Open date: February 25, 2026




Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.



The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.



The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.



Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.



These positions will be eligible for full benefits.



Lab:

Contract: ar-contract-2022/



Qualifications

Basic qualifications (required at time of application)

*PhD (or equivalent international degree)



Additional qualifications (required at time of start)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience



Preferred qualifications

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position


  • Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05256

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



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As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
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  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
permanent
Learning And Development Specialist
✦ New
🏢 LHH
Salary not disclosed
Culver City, CA 1 day ago

We’re looking for a dynamic Learning & Development Solutions Consultant who is passionate about building impactful learning experiences and scaling development across the enterprise. In this role, you’ll help design, coordinate, and deliver innovative learning initiatives that empower employees and leaders to do their best work.

A key focus of this role is serving as our Workday Learning (LMS) strategist and administrator—leveraging the platform’s current capabilities while helping evolve how we deploy, track, and measure learning across the organization. You’ll collaborate closely with HR, business leaders, and external learning partners to deliver engaging, scalable solutions that support a growing global workforce.

If you love combining learning strategy, technology, analytics, and program execution, this is a unique opportunity to make a meaningful impact on how learning happens across the company.

What You’ll Do

Workday Learning Strategy & Administration

  • Serve as the primary administrator for Workday Learning (LMS) including content uploads, campaigns, content reviews, and ongoing system optimization.
  • Partner with the L&D leader and HRIS team to evolve our learning technology strategy and expand how we use Workday to support enterprise learning initiatives.
  • Maintain onboarding planners and learning pathways supporting the expansion of global onboarding programs.

Learning Platforms & Insights

  • Monitor engagement and usage metrics for LinkedIn Learning and other learning platforms.
  • Develop reporting and insights that highlight learning engagement, adoption, and program effectiveness.
  • Support internal communications that promote learning resources and development opportunities.

Learning Vendor Partnerships

  • Manage relationships with external learning vendors including scheduling, program coordination, and oversight.
  • Help evaluate vendor effectiveness and the overall impact of learning programs.
  • Coordinate logistics and communications for vendor-led learning experiences.

Manager & Leadership Development

  • Coordinate scheduling and program logistics for manager training programs.
  • Partner with internal stakeholders to support the delivery of leadership and manager capability initiatives.
  • Ensure seamless operational execution of training across business groups.

Global Onboarding Programs

  • Support the growth of CAA Welcome and CAA Go! global onboarding initiatives.
  • Coordinate onboarding learning experiences and maintain onboarding resources and materials.
  • Ensure onboarding programs align with our broader enterprise learning strategy.

Performance Management Learning

  • Design and facilitate training related to performance management processes.
  • Create practical learning materials including one-pagers, quick reference guides (QRGs), job aids, and forms.

Learning Program Support

  • Provide operational support for learning initiatives including facilitation, scheduling, and coordination.
  • Partner across the organization to support additional learning needs as they arise.

What You Bring

  • Bachelor’s degree in Human Resources, Organizational Development, Education, Business, or a related field.
  • 5–8+ years of experience in Learning & Development, Talent Development, or HR program management.
  • Strong experience working with Learning Management Systems, with deep knowledge of Workday Learning.
  • Proven experience coordinating training programs, vendors, and facilitation logistics.
  • Excellent organizational, project management, and stakeholder management skills.
  • A passion for building scalable learning experiences that drive real business impact.

Benefits:


Benefits include medical, dental, vision, additional voluntary benefits, 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.


Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance

LHH | Privacy Policy

View the Lee Hecht Harrison Privacy Policy here and learn more about how information is handled on the site. Please contact us if you require more information.

Not Specified
Quality Assurance Learning Experience Designer
✦ New
🏢 Covista
Salary not disclosed
Columbia, MD 1 day ago

About Covista

Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals—they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education—they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers.



We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.



For more information, visit and follow us on LinkedIn, Instagram and YouTube.

Job Description

The Quality Assurance (QA)Learning Experience Designer actively engages in the review, design, development, and implementation of learning products (e.g., academic programs and courses, short courses, micro-credentials), working closely with strategic partners and vendors; this includes the quality review of new learning content, as well as the search for suitable existing learning content within Covista's owned content repositories and learning content management systems.

The QA Learning Experience Designer has a working knowledge of digital learning product design and development theories, processes, best practices, and trends, integrating that knowledge to enhance the student learning experience by leveraging contemporary learning design principles, applying flexible approaches, and driving strategic innovation to anticipate, meet, and exceed partner needs.

TheQA Learning Experience Designer manages multiple reviews during different stages of development, each with varying requirements and milestones. The QA Learning Experience Designer works with a range of internal and external academic experts, product development staff, vendors, and institutional representatives to ensure adherence to quality standards,product design decisions, business requirements, and academic expectations.

  • Ensures the learning content developed for online/hybrid course delivery is of the highest quality possible and supports student mastery of learning outcomes.
  • Ensures learning content adheres to quality standards, program/product design decisions, business requirements, and academic expectations; ensures that relevant internal and partner reviews occur and that feedback/required changes are incorporated.
  • Works closely with curriculum authors and subject matter experts to review content, storyboards, and related instructional elements for incorporation into the courses.
  • Actively engages in the learning content creation review for multiple delivery contexts, including course-based, competency-based, self-paced, micro-learning and other such contexts to align with partner institution strategies.
  • Coordinates and/or participates in program design and development meetings as needed to address marketing research and analysis, regulatory issues, industry trends, competitive landscape, unique differentiators, relevant data, instructional framework options, and core themes and topics for product development.
  • Works collaboratively with subject matter experts, academic and business representatives, marketing professionals, educational media specialists, and shared services staff to designreview, develop, and implement learning solutions.
  • Actively engages in the learning content creation review for multiple delivery contexts, including course-based, competency-based, self-paced, micro-learning and other such contexts to align with partner institution strategies.
  • Coordinates and/or participates in program design and development meetings as needed to address marketing research and analysis, regulatory issues, industry trends, competitive landscape, unique differentiators, relevant data, instructional framework options, and core themes and topics for product development.
  • Works collaboratively with subject matter experts, academic and business representatives, marketing professionals, educational media specialists, and shared services staff to designreview, develop, and implement learning solutions.
  • Works with little or no supervision on all assigned learning products at the course and program levels.
  • Works collaboratively with others to establish project management plans that ensure product review dates are met and ensure appropriate resourcing of all projects; ensures members of the project team are familiar with program design and development design philosophy and project management plans.
  • Maintains a working knowledge of learning experience design, online learning, instructional design and technology, adult learning theory, and andragogy/pedagogy to support program and course development.
  • Applies research skills to assess current and prospective technologies and innovative products to enhance the student experience in the online classroom.
  • Reviews or selects learning resources in collaboration with the academic team, ensuring adherence to business and regulatory requirements, DLS and institution strategies, and works collaboratively with shared services staff to ensure availability of learning resources.
  • Designs learner experiences for the integration of text, graphics, animations, videos, and interactions for these offerings; ensures materials follow development objectives/outcomes and exhibit best practices for visual and interaction display to support learning.
  • Ensures project timelines are met and deliverables meet quality expectations of the institution.
  • Collaborates with key stakeholders to create instructional material in a visually dynamic, engaging, and interactive format, while offering suggestions to enhance student engagement and learning.
  • Adapts to rapidly changing project timelines and deliverables.
  • Performs other duties as assigned.
  • Complies with all policies and standards.

Qualifications

  • Master's Degree Required
  • PhD Preferred
  • Three (3) plus years of learning experience design work, with specific experience in conceptualizing, designing, and creating learning experiences for adult learners a plus.
  • Experience working with third-party vendors and independent contractors.
  • Experience managing budgets and ensuring adherence to budget limitations.
  • Experience working with higher education professionals.
  • Expertise in at least one of the following: instructional design, instructional technology, contemporary theories and methods of learning experience creation, learning management systems, learning content management systems, application of technological innovations to enhance learning and mastery of outcomes.
  • Experience developing with tools such as Adobe Captivate and Articulate Storyline/Studio a plus.
  • Successful experience in relationship management across a range of partners.
  • Be able to evaluate vendor, contractor, and SME contributions to ensure all learning products meet and/or exceed Covista standards of excellence.
  • Be a skilled communicator and collaborator, able to handle criticism, actively participate in design meetings, and deliver highly engaging learning assets.
  • Possess a working knowledge of contemporary and innovative principles of instructional design, curriculum development, and educational technology.
  • Possess solid written and verbal communication skills.
  • Have strong knowledge of Microsoft Office suite.
  • Be committed to results and consistently demonstrate accountability in all areas of responsibility.
  • Possess strong organizational skills and have a history of positive results achieved collaboratively.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $61,720.78 and $108,334.92. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Covista offers a robust suite of benefits including:



  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Covista's Flexible Time Off (FTO) Policy
  • 12 Paid Holidays

    For more information related to our benefits please visit: are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.





Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Not Specified
Senior Manager, Learning & Development, Non- Clinical
Salary not disclosed
Chicago, IL 2 days ago

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 50 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.


As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team at Aspen Dental as a Senior Manager, L&D, Non-Clinical.


Job Summary:

This Senior Manager is an important part of the Learning and Development team and has accountability for development strategies and programs for non-clinical team members. This role will report to the Director, L&D and partner closely with the Field leadership team to create and implement learning solutions and programming that support field team members at all stages of their development.


This Senior Manager is a proven leader who can effectively collaborate with the Field leadership team and other partners in Learning & Development and Human Resources. This leader is a strong performance consultant who can develop solutions and programming to build foundational to advanced knowledge, skills and abilities. This leader has experience orchestrating organizationally complex work and demonstrating business impact through data. This leader must also be hands-on with a willingness to analyze and build, unafraid to roll-up their sleeves to get projects done.


Essential Responsibilities:

  • Partner with the Field leadership team and the broader L&D and HR teams to understand specific development needs for Aspen Dental field team members, including operations skill development, leadership and professional development and business management skills.
  • Design, develop and deliver a suite of highly effective learning solutions, programs, tools and resources. Solutions may include formal learning programs, experiential learning assignments, coaching, etc.
  • Create and enable successful learning plans for each role including PSC, OM, OL, RM and TD.
  • Manage learning and development Field programs from end-to-end, design, development, communication, facilitation, implementation and program analysis.
  • Drive a learning culture within the Field team.
  • Understand the specific needs of each learner audience so you can advocate and adapt for their specific needs and preferences.
  • Lead a team of end-to-end, non-clinical L&D professionals, providing direction, coaching and support to optimize the performance and potential of each team member.
  • Evaluate existing Field programs/content for impact and alignment with organizational needs. Iterate and provide recommendations for learning experiences that increase reach, impact, and future capability requirements.
  • Use data to measure success: learn, iterate, and improve; analyze trends and develop proactive actions to improve the experience for future learners.
  • Serve as a Learning and Development thought partner. Proactively research and identify opportunities to apply new thinking to improve effectiveness and on the job performance. Stay in touch with learning field trends and best practices.
  • Partner with others to solve business problems and execute learning and development initiatives.
  • Other duties as assigned.


Requirements/Qualifications:

  • Education Level: Bachelor’s degree required
  • A minimum of 7+ years of relevant learning and development experience, ideally in a fast-paced organization with a distributed workforce.
  • A minimum of 5 years project management experience using project management tools to manage medium to large scale content development projects.
  • A minimum of 3+ years leading a team of L&D professionals.
  • Advanced understanding of adult learning theory and principles.
  • Highly developed skill in instructional design and implementing development programs for all audiences.
  • Strong business insight, with the ability to credibly make a business case, by linking current and anticipated business challenges with learning and development solutions.
  • Well versed in multiple applications of digital learning, just-in-time / micro-learning, and blended learning strategies.
  • Strong capabilities in data analytics (as it pertains to measuring learning).
  • Experience providing consultation to senior leadership on strategic initiatives.
  • Excellent communication and influencing skills at all levels in the organization and extreme flexibility to be proactive in a fast paced, ever-changing environment.
  • Excellent facilitation skills. Experience in small and large group facilitation in multiple modalities.
  • Ability to travel as needed.


Starting at $119,000+ DOE with a 15% bonus

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Not Specified
Learning Program Manager
✦ New
Salary not disclosed
Schaumburg, IL 1 day ago

Who We Are


The International Warehouse Logistics Association (IWLA) is a trade association dedicated to supporting warehouse logistics providers across North America. We are elevating our educational portfolio, modernizing our LMS and digital learning infrastructure, and building meaningful learning experiences that help members grow. Our team values collaboration, service, clarity, and continuous improvement.


Who We Seek


We are looking for an LMS & Curriculum Development Manager who is passionate about adult learning, digital learning systems, and creating high‑quality educational experiences for industry professionals. This role is ideal for someone who enjoys organizing complex content, working with subject matter experts, and building structured, scalable learning pathways. If you are service‑oriented, detail‑driven, and energized by supporting members and events, we want to hear from you!


What You Will Do


  • Manage and optimize IWLA’s Learning Management System (LMS).
  • Develop and maintain curriculum frameworks, learning pathways, and certificate programs.
  • Collaborate with subject matter experts (SMEs) to source, review, and improve learning content.
  • Lead the development of IWLA’s Essentials Certificate Program.
  • Support educational programming for IWLA’s Annual Convention and live events.
  • Assist in session planning, presenter support, and ensuring a positive member experience.
  • Analyze LMS data to evaluate program effectiveness and implement improvements.
  • Create structure, organize content, and uphold quality standards across all learning products.
  • Stay current on adult learning practices, adult learning theory, and association education trends.


What You Will Need


  • 3–5+ years of experience in adult learning, L&D, LMS administration, or digital learning operations.
  • Hands-on experience managing or configuring an LMS (any platform).
  • Strong understanding of adult learning theory and professional learning design.
  • Experience collaborating with SMEs, speakers, or industry contributors.
  • Excellent communication, organization, and judgment.
  • Ability to manage multiple projects and meet deadlines with consistency.
  • A service‑focused, team‑oriented approach to work.
  • Bachelor’s degree in Education, Instructional Design, L&D, or related field preferred.
  • Willingness to attend IWLA events and support onsite learning experiences.
  • Bilingual candidates encouraged to apply.


What We Offer


  • An engaging role shaping IWLA’s growing digital learning ecosystem.
  • Opportunities to build and refine curriculum, certificates, and learning pathways.
  • A collaborative, mission-driven team with support from IWLA leadership.
  • Exposure to LMS platforms, adult learning strategy, SME relationships, and association education.
  • No-cost health benefits, dental, vision, life, disability insurance, and employee assistance program.
  • 401(k) matching and financial education resources.
  • 22 Work From Home Days.
  • Professional development support and opportunities for advancement.


Job Type & Compensation

Job Type: Full-time

Pay: $76,000 - $90,000

Expected Hours: 40 per week

Location: Schaumburg, IL (On-Site)

Travel: Up to 20% annually (Annual Convention + education events)


Benefits:

  • 401(k) 6% Match
  • Dental insurance
  • Employee assistance program
  • Health insurance
  • Life insurance
  • On-site gym
  • Paid time off
  • Vision insurance


Experience:

  • Non-profit accounting: 1 year (Preferred)


Work Location: Schaumburg, IL 60173

  • In person (Required)
Not Specified
Coordinator Clinical Learning Operations - Clinical Education
Salary not disclosed
Description
Summary:

The Clinical Learning Operations Coordinator supports the delivery, management, and administration of clinical education programs. This role applies technical expertise to support digital learning, the hands-on capacity to support in-person learning events, and the organizational skills to support the administrative and logistical aspects of an education team. The Coordinator ensures that educational activities are well-organized, compliant with regulatory agencies, accessible, and aligned with clinical staff development goals.

Responsibilities:

Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
Digital Learning Support
Collaborates with system and ministry leaders to ensure the right courses are assigned to the right audience, and additional course activities are vetted and created as part of the system's standardized approach.
Manages local user enrollment, troubleshooting, and reporting.
Tracks learner progress, generates compliance reports, and provides analytics to leadership
Supports faculty and staff with LMS usage, including uploading materials, managing virtual classrooms, and resolving technical issues.
Fields local requests for new or existing content to be added to the LMS, including collaboration on new content creation based on need and approval.
In collaboration with leadership, ensures LMS content meets accreditation, regulatory, and organizational standards.
Facilitates the placement of in-person courses onto the digital learning management system (i.e., Transcripts, Course shells).
Learning Program Support
Assists with planning, scheduling, and coordinating in-person (non-digital) clinical education programs, courses, workshops, and events.
Prepares learning materials, rosters, evaluations, and certificates.
Provides onsite or virtual support during training sessions (attendance tracking, technical setup, materials distribution).
Collects and analyzes participant feedback to support program improvement.
Supports in-person delivery of education as needed through the use of technology, quizzing tools, or other teaching adjuncts.
Administrative Support
Serves as a point of ministry contact for learners, educators, and stakeholders regarding educational logistics.
Maintains accurate documentation, records, and databases related to continuing education, workshops, and professional development initiatives.
Provides logistical support such as ordering food, supplies, and room reservations for in-person workshops and courses.
Support budget tracking, invoices, and vendor coordination as needed.
Contributes to the streamlining of processes to improve efficiency in clinical education operations.
Responsible for other related duties as assigned.

Job Requirements:

Education/Skills
High school diploma or equivalent experience is required
Strong technical skills with Microsoft Office Suite, virtual platforms (Zoom, Teams, WebEx), and database management required
Excellent communication, organizational, and customer service skills required
Adaptability and willingness to learn new technologies and systems required
Experience
2 - 4 years of experience in education administration, training coordination, or healthcare operations preferred
Experience with Learning Management Systems (e.g., HealthStream, Cornerstone, Docebo, etc.) or equivalent experience required
Ability to manage multiple priorities in a fast-paced, clinical education environment is required
Attention to detail and accuracy in managing data required
Strong problem-solving and troubleshooting abilities required
Collaborative team player with a service-oriented mindset required
Licenses, Registrations, or Certifications
None required
In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.

Work Schedule:

5 Days - 8 Hours

Work Type:

Full Time
Not Specified
Junior data analyst/Machine learning engineer
✦ New
Salary not disclosed
Oakland 1 day ago
CS/IT Graduates or About to be Grads.

Get Hired by taking action.

If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.

A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.

That's why many new grads send hundreds of applications and still hear nothing back.

It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.

Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.

Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.

If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.

Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).

Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral).

No structured pipeline (random applying without feedback loops).

A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you're tired of guessing, stop treating your job search like a lottery.

Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.

If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.

In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Not Specified
IBM Consulting Americas Learning and Knowledge Leader
$250 +
New York, NY 4 days ago
Introduction

The IBM Consulting Learning and Knowledge (L&K) Americas Lead will be accountable for overall skills growth for our client-facing Consulting staff in the Americas and local execution of the global L&K strategy. This role will manage local L&K resources, be responsible for the Americas L&K budget, and coordinate with business leaders, L&K’s worldwide portfolio teams, and several shared services functions to ensure that priority education and credential needs are met within the budget.

Key responsibilities include engaging with Geography stakeholders to understand their needs and priorities, raising those needs with L&K’s global portfolio leads/senior strategists, end-to-end budget management, and delivering quality education aligned to business priorities and the broader people strategy.

Your role and responsibilities
  • Engage Geography stakeholders (Geo General Manager, Operations Leader, Market Leaders Service Line leaders, etc.) as well as peers from within the Geo Talent Supply Chain (HR, Workforce Management, Talent Acquisition) as the "primary face of L&K" to the Geography.

  • Team with other L&K roles (Portfolio Leads, Lead Learning Strategists, Delivery Leads, Shared Services Learning Consultants) in our organizational matrix to ensure coordination and alignment.

  • Manage the L&K Geography budget, securing initial requirements in the Fall Plan, engaging with Geography leadership and Finance to agree a committed budget, manage budget changes through quarters and ensure the overall program stays within the annual/quarterly budget envelopes - all requiring close coordination with business operations leads as well as the various L&K Portfolio and Shared Services teams.

  • Lead the L&K team in the Geography, including L&K Geo Operations/Finance and L&K Market Leaders. They will also serve as in-country managers for Faculty and Event Management support resources who are in the Shared Service teams.

  • Oversee annual and quarterly education requirements capture and prioritization, working closely with L&K Portfolio and L&K Shared Services teams.

  • Ensure quality education delivery that meets the prioritized Geography requirements and fits within the budget envelope. This will requirement close collaboration with L&K Portfolio and L&K Shared Services teams, who will be responsible for staffing and delivering the education programs.

Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs.

Required technical and professional expertise
  • 10+ years of experience in a services environment, preferably technology consulting. Preference for candidates with both significant client service and learning leadership experience.

  • Proven track record executing complex education deployment programs: Conferences, large and medium-sized face-to-face events, connected classrooms, virtual classrooms, self-studies, etc.

  • Subject Matter Expertise in applied adult learning theory.

  • Proven people and program management skills in complex environments, ensuring successful execution and alignment with organizational goals.

  • Deep senior stakeholder management skills and experience.

  • Ability to collaborate across a multi-dimensional matrix, working effectively with diverse teams and stakeholders across time zones

Preferred technical and professional experience
  • Demonstrated leadership experience in a large-scale corporate education leadership role, including people management (preference in a services environment).

  • Proven ability to influence and build effective relationships with senior business leaders.

  • Exceptional written and verbal communication skills.

  • Experience deploying education solutions in large, complex organizations.

  • Substantial experience delivering training (as an instructor).

  • Strong organizational skills with the ability to prioritize and manage multiple projects simultaneously.

  • Proven experience working in cross-cultural, global, and virtual environments.

  • Ability to keep multiple projects moving forward in parallel while maintaining focus on key objectives.

  • Familiarity with L&K processes, systems, and tools (preferred).

  • Relevant graduate degree preferred.

  • Multilingual (Proficiency in Spanish and/or Portuguese valued).

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


#J-18808-Ljbffr
Not Specified
Coordinator Clinical Learning Operations-Clinical Education
✦ New
🏢 Christus Health
Salary not disclosed
DescriptionSummary:
The Clinical Learning Operations Coordinator supports the delivery, management, and administration of clinical education programs. This role applies technical expertise to support digital learning, the hands-on capacity to support in-person learning events, and the organizational skills to support the administrative and logistical aspects of an education team. The Coordinator ensures that educational activities are well-organized, compliant with regulatory agencies, accessible, and aligned with clinical staff development goals.
Responsibilities:
Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.Digital Learning SupportCollaborates with system and ministry leaders to ensure the right courses are assigned to the right audience, and additional course activities are vetted and created as part of the system's standardized approach.Manages local user enrollment, troubleshooting, and reporting.Tracks learner progress, generates compliance reports, and provides analytics to leadershipSupports faculty and staff with LMS usage, including uploading materials, managing virtual classrooms, and resolving technical issues.Fields local requests for new or existing content to be added to the LMS, including collaboration on new content creation based on need and approval.In collaboration with leadership, ensures LMS content meets accreditation, regulatory, and organizational standards.Facilitates the placement of in-person courses onto the digital learning management system (i.e., Transcripts, Course shells).Learning Program SupportAssists with planning, scheduling, and coordinating in-person (non-digital) clinical education programs, courses, workshops, and events.Prepares learning materials, rosters, evaluations, and certificates.Provides onsite or virtual support during training sessions (attendance tracking, technical setup, materials distribution).Collects and analyzes participant feedback to support program improvement.Supports in-person delivery of education as needed through the use of technology, quizzing tools, or other teaching adjuncts.Administrative SupportServes as a point of ministry contact for learners, educators, and stakeholders regarding educational logistics.Maintains accurate documentation, records, and databases related to continuing education, workshops, and professional development initiatives.Provides logistical support such as ordering food, supplies, and room reservations for in-person workshops and courses.Support budget tracking, invoices, and vendor coordination as needed.Contributes to the streamlining of processes to improve efficiency in clinical education operations.Responsible for other related duties as assigned.
Job Requirements:
Education/SkillsHigh school diploma or equivalent experience is requiredStrong technical skills with Microsoft Office Suite, virtual platforms (Zoom, Teams, WebEx), and database management requiredExcellent communication, organizational, and customer service skills requiredAdaptability and willingness to learn new technologies and systems requiredExperience2 - 4 years of experience in education administration, training coordination, or healthcare operations preferredExperience with Learning Management Systems (e.g., HealthStream, Cornerstone, Docebo, etc.) or equivalent experience requiredAbility to manage multiple priorities in a fast-paced, clinical education environment is requiredAttention to detail and accuracy in managing data requiredStrong problem-solving and troubleshooting abilities requiredCollaborative team player with a service-oriented mindset requiredLicenses, Registrations, or CertificationsNone requiredIn accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.
Work Schedule:
8AM - 5PM Monday-Friday
Work Type:
Full Time
Not Specified
Behavior Technician – Learn & Grow with Paid Certification
$20 - 24.50 hourly
Riverside, CA 2 days ago
Immediate positions available to work with children with autism spectrum disorder and their families!

At ABS Kids we find our purpose in the wow moments our clients experience each day, learning new skills and reaching new goals. Join us as a Behavior Technician and discover wow for yourself in your career path. #WorkInWow

Benefits and Compensation:

- $20.00 - $24.50 / hour
- Earn an additional $2.00 /hour (premium pay) for weekends and holidays
- Increase for RBT certification
- Paid drive time / mileage reimbursement
- 401(k) plus company match
- Paid time off earned for every hour worked!
- Paid training

We also support you with:

- LAUNCH career path - clear milestones with rewards including bonuses and promotions
- Referral bonus program
- Free continuing education opportunities
- Free CPR and safety training
- Employee assistance program including free financial advice, free counseling support, mental health resources
- Virtual office connection to hundreds of colleagues nationwide, and fun local events with colleagues in your area
- Learn transferable skills which open the door to great careers in behavior health

What You Will Do:

- Teach kids while playing, and following a treatment plan specific to that child
- Observe, play and collect data so you can write a progress note
- Help kids learn essential life skills such as motor skills, social skills, emotional skills and more
- Work on goals with child that help shape challenging behaviors into communication skills
- Make a difference in the life of a child!

Skills and Qualities We Are Looking For:

- Paid prior experience working with kids (i.e. Camp counselor, daycare, nanny, school setting, ABA, etc) preferred
- Lots of energy, playful, creative, able to think on your feet
- Dependable - someone your client and their family can count on
- Ability to constantly get up and down off floor, move quickly
- Tech savviness - comfortable learning our data collection software and using Microsoft Office 365 (Excel, Outlook, Teams)
- Desire to learn, work independently, and provide the best quality care to our clients
- Interested in working with evidence-based methods based in science and proven effective

Who We Are

- It�s in the wow moments that we find our purpose at ABS Kids. Our shared experiences are the milestones that influence our work. The mission of our work with children with autism and their families feeds our spirit. With every wow moment, we can see our impact grow.
- At ABS Kids we are empowered by the breadth of our differences. Our mission is to create a culture where all people thrive because their diverse stories are heard and celebrated. We commit to an evolving understanding of diversity as we learn from one another.
- We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

CA Job Applicant Privacy Notice

IBTI
temporary
(Sr.) Learning and Development Manager
Salary not disclosed
Fremont, CA 3 days ago

Who we are:

Delta, founded in 1971, is a global provider of power and thermal management solutions. Its mission statement, "To provide innovative, clean and energy-efficient solutions for a better tomorrow," focuses on addressing key environmental issues such as global climate change. As an energy-saving solutions provider with core competencies in power electronics and automation, Delta's business categories include Power Electronics, Mobility, Automation, and Infrastructure.

About the role:

As a key member of the Delta Americas HR team, the Learning & Development (L&D) Manager will lead the strategy, development, and implementation of impactful learning programs that enhance employee performance, develop leadership capabilities, and build a culture of continuous growth. This role partners closely with business stakeholders and global HR to assess development needs, build scalable programs, and measure learning effectiveness. The ideal candidate brings both strategic insight and hands-on instructional design experience.

Key responsibilities:

1. Learning & Development Strategy

  • Design and execute L&D strategies that align with Delta’s global HR goals and the Americas Region priorities.
  • Identify training needs, assess knowledge/skill gaps, and propose solutions.
  • Stay current with industry best practices and bring forward innovative approaches in learning technologies and delivery modalities.


2. Program Design & Execution

  • Develop and implement a full suite of development programs, including onboarding, technical training, leadership development, high-level managerial training, and compliance training.
  • Create engaging, high-impact learning content using blended approaches (instructor-led, web-based, read-and-understand, microlearning, etc.).
  • Oversee all aspects of program logistics – from vendor management, communications, scheduling, and space setup to evaluation and post-training follow-up.
  • Utilize the Learning Management System (LMS) to manage training assignments, tracking, and reporting.
  • Partner with Corporate HR and internal SMEs to adapt and deliver core competency development programs.


3. Talent Development

  • Lead and support the implementation of the Talent Review process, including critical talent identification and development planning.
  • Mentor and coach employees to help them understand and pursue career development paths.
  • Support regional execution of mentorship, coaching, and talent acceleration programs.


4. Evaluation & Continuous Improvement

  • Define and track KPIs to measure training effectiveness, learning adoption, and business impact.
  • Regularly review and revise program content based on feedback, business needs, and performance data.
  • Provide regular reporting to leadership on L&D activities, participation trends, and outcomes.


5. Team Leadership & Collaboration

  • Serve as a mentor to L&D specialist, providing guidance on instructional design and project execution.
  • Partner with internal teams to develop effective communications and rollout plans for training initiatives.
  • Champion a culture of inclusion and continuous development across teams.


People Leadership Accountabilities

  • Create Inclusion: Foster an inclusive learning environment and ensure diverse talent has access to development opportunities.
  • Develop Talent: Coach team members and learners to identify skill gaps, expand capabilities, and realize their potential.
  • Empower Teams: Align learning initiatives with business goals and enable teams to contribute meaningfully to organizational success.


Minium Qualifications:

  • Master’s Degree with a minimum of 12+ years of experience in Learning and Development or related field
  • Proven experience designing and delivering training programs in corporate settings, ideally within a manufacturing or technology environment.
  • Proficiency in instructional design tools, e-learning development
  • Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced, matrixed organization.
  • Excellent written and verbal communication skills; strong facilitation and presentation abilities (both in-person and virtual).
  • Advanced skills in Microsoft Office Suite (Word, PowerPoint, Excel, Outlook); familiarity with tools such as Zoom, Teams, and Smartsheet.

Benefit at Delta Electronics Americas: Life at Delta

Not Specified
Evidence & Learning Officer (18-month contract)
Salary not disclosed
Irvine, CA 3 days ago

***Candidates must be based in California, Maryland, or DC.***


ABOUT SEQUOIA CLIMATE FOUNDATION

Sequoia Climate Foundation is a climate philanthropy that believes in a world powered by clean energy, where all people are protected by policies that have averted the worst effects of climate change. We support bold strategies and efforts that will have both near-term impact and the greatest probability of long-term success. We believe that solving climate change requires the adoption of ambitious, evidence-based policy solutions that transform markets, advance clean technology, and lead to large‐scale change.


JOB SUMMARY

The Evidence and Learning Officer implements evidence and learning practices, providing actionable, evidence-based insights to grantmaking staff. They provide support in the development of theories of change, and review proposed strategies and grants to support high impact grantmaking. They work closely with grantmaking teams, providing training on key evidence and learning practices, as well as ongoing coaching and implementation support. They support strategic reflection practices with both grantmaking staff and grantees, using established methods and approaches. They work across multiple grantmaking portfolios, and are able to adapt their modes of engagement to meet the needs of grantmaking staff. Where necessary, they engage directly with grant recipients on evidence and learning related topics. They foster and embody a culture of organizational learning. The Research Officer will report to the Chief Evidence and Learning Officer, and collaborate closely with grantmaking staff across multiple organizations.


ESSENTIAL JOB FUNCTIONS & KEY OUTCOMES

  • Collaborates with multiple grantmaking portfolios to support theory of change development and provide pragmatic reviews of proposed grantmaking (using established methods and protocols).
  • Supports grantmaking teams to implement purpose-oriented reflection practices with grantees that support grant stewardship and ongoing learning.
  • Supports implementation of structured processes for reflection and evidence-based briefings oriented toward distilling actionable insights that maximize climate impact.
  • Collaborates with other Evidence and Learning staff to conduct purpose-driven, pragmatic quantitative analysis in support of philanthropic decision-making.
  • Fosters and embodies a culture of iterative experimentation and learning internally and with partners.
  • Manages multiple projects and timelines
  • Performs other duties as required.


EDUCATION, EXPERIENCE & CREDENTIALS

  • Advanced degree in policy, science, engineering, or mathematics required.
  • A minimum of three years working in climate policy, climate philanthropy, or a related field is required.
  • Demonstrated experience with synthesizing and translating technical content into actionable insights delivered verbally or writing or verbally required.
  • Demonstrated experience with project management and coordination across a team required.
  • Knowledge of learning and reflection practices preferred.


COMPETENCIES

  • Integrity: Commitment to Sequoia Climate Foundation’s mission and values.
  • Inspirational Leadership: Demonstrated values-based, results-driven leadership.
  • Collegiality: Strong work ethic and experience working collaboratively with a team.
  • Efficiency/Initiative: Ability to learn quickly, juggle multiple tasks, prioritize effectively and meet deadlines.
  • Quality/Compliance: Attention to detail and timelines.
  • Analysis: Comfortable applying mathematical concepts, including calculus, statistics, and Bayesian probability.


WORKING CONDITIONS

This is largely a sedentary position that requires the ability to speak, hear, see, and lift small objects up to 15 lbs. Requires the ability to periodically travel locally, regionally, nationally, and internationally.

contract
Learning Management Systems Specialist
🏢 Nouria
Salary not disclosed
Worcester, MA 3 days ago

The Learning Management System (LMS) Specialist plays a critical role within our Learning Ecosystem, partnering closely with HR and with Team Members across the organization. This role reports to the Senior Manager, Curriculum.

In this position, you will own the tasks and activities related to Workday Learning, including building courses, learning paths, and programs. Also, maintaining regular assignments and working with HR technology to build easy-to-use reporting for key training metrics and measures. This role will also work with our content vendors, troubleshoot issues or concerns, and build relationships with our account management team.

Responsibilities:

  • Administer and maintain the LMS, including audience management, course setup, and content uploads.
  • Troubleshoot technical issues and provide support to users, including assisting Nouria Team Members with LMS navigation and functionality.
  • Collaborate with instructional designers and content creators to develop and implement online courses and assessments.
  • Ensure course materials are updated and aligned with educational and quality standards.
  • Monitor and analyze LMS data, including user engagement and course completion rates.
  • Generate reports for stakeholders to inform instructional improvements and decision-making.
  • Stay updated on industry trends and best practices in LMS management.
  • Recommend enhancements to improve user experience and system functionality.

Qualifications and Skills:

  • College degree or equivalent experience required
  • Proven experience as an LMS Administrator, familiarity with various LMS platforms (Workday Learning is a strongly preferred).
  • Strong technical skills, including troubleshooting and problem-solving.
  • Experience using industry‑standard assessment tools (strongly preferred).
  • Demonstrated ability to design and develop learning content tailored to specific roles and audiences with exceptional attention to detail.
  • Proficiency with the ADDIE model from analysis through evaluation.
  • Ability to synthesize complex information and stakeholder feedback into clear, accessible learning materials.
  • Proven ability to build strong relationships and influence across functions and all organizational levels.
  • Strong strategic thinking skills with the ability to translate ideas into actionable solutions.
  • Exercises sound judgment and comfortably challenges assumptions to drive improvement.
  • Skilled in root‑cause analysis, solution development, and data‑informed decision-making.
  • Excellent project and time management skills, with the ability to manage multiple priorities independently.
  • Proficient with various technology systems and able to learn new tools quickly.
  • Demonstrates openness to feedback and a commitment to continuous personal and professional growth
Not Specified
Principal Research Scientist - AI & Machine Learning
✦ New
🏢 Novateur Research Solutions
Salary not disclosed
Ashburn, VA 1 day ago

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.


Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.


Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.


Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.


Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.


Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Not Specified
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