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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.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



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
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
permanent
Lead Data Scientist (Hybrid)
✦ New
Salary not disclosed

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

  • Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

  • Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

  • Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

  • Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

  • Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

  • Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

  • Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

  • Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

  • Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

  • A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

  • Experience building and deploying production solutions

  • Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

  • 2+ years of experience in Insurance, actuarial, or a related field

  • Proficiency in programming languages such as Python

  • Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

  • Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

  • Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

  • Excellent problem-solving skills and the ability to think critically and analytically.

  • Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

  • Demonstrated ability to manage multiple projects and prioritize tasks effectively.

  • A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

  • Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

  • Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

  • Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

  • Knowledge of data governance and data privacy regulations.

  • Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

$111,300.00 - $207,800.00

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
Assistant In Research Embedded Training / Software Engineer
✦ New
Salary not disclosed
Orlando, FL 1 day ago

The Opportunity

The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month, non-tenure earning, embedded research training and engineer-oriented, research position. This is a full-time Contract and Grants (C&G)-based faculty position to support ongoing federally sponsored research in a long-standing and agile R&D lab. For information about the Institute for Simulation and Training and the Orlando area, see .

We are seeking an Assistant In Embedded Training Researcher/Software Engineer with expertise in advanced algorithms and software development, computer visualization, and immersive training technologies to support the design, development, and implementation of next-generation embedded, visual, and intelligent research training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems.

Key Responsibilities


  • Research, design, develop, and implement software to enhance training in real-world and 3D environments. Develop high-fidelity visual simulation and application prototypes.


  • Research and develop frameworks for embedded hardware and software for advanced embedded training systems.


  • Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.


  • Create prototypes and capabilities demonstrators to showcase IST's expertise aligned with trends and opportunities.


  • Design and execute hands-on demonstrations and exhibits at strategic events.


  • Perform embedded hardware and software research and contribute to peer-reviewed publications.


Minimum Qualifications:

A master's degree from an accredited institution in a field related to computer science or computer engineering and two years of related professional experience, or a bachelor's degree from an accredited institution in a field related to computer science or computer engineering and five years of related professional experience.

Strong applicants will have experience in at least three of the following areas:


  • Augmented Reality/Virtual Reality concepts and development experience
  • Artificial Intelligence use

    • Working knowledge of Unity's ML Agents or similar systems
    • Computer Vision applications development using AI techniques


  • C, Objective C, C++, C#, Java or Python software languages
  • Windows, Linux and Mac operating system cross-platform coding techniques
  • Mobile platform application development (Android and IOS)
  • Understanding of small, low-powered, and embedded hardware
  • Embedded software authoring for IOT devices
  • Knowledge of commercial game engines such as Unity and Unreal

Preferred Qualifications:


  • Embedded software design and development (e.g. Arduino)


  • Knowledge using visual development environments such as: IntelliJ, Xcode, Visual Studio, Qt Creator, Eclipse, and MonoDevelop.


  • Network design and optimization


  • Understanding of geospatial and cartographic concepts


Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:


  • A curriculum vitae.


  • A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest.


NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed to: Dean Reed at .

Special Instructions to the Applicants:

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

The position requires U.S. citizenship for a University-sponsored application for a security clearance. This position is funded by contract and grant sources and is contingent upon available funding.

Job Close Date:

Open until filled.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:


  • Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  • Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  • Retirement savings options.
  • Employee discounts, including tickets to many Orlando attractions.
  • Education assistance.
  • Flexible work environment.
  • And more...For more benefits information, view the UCF Employee Benefits Guideclick here.

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Institute for Simulation and Training (IST) - EG Operations

Work Schedule

Varies

Type of Appointment

Regular

Expected Salary

Negotiable

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

internship
Data Instruction and Outreach Librarian - Library
✦ New
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Position title:
Associate Librarian-Temporary

Salary range:
The UC academic salary scales set the minimum pay determined by rank and salary point at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $80,349-$102,121.

Percent time:
100%

Anticipated start:
As early as January 2025. Start date is flexible.

Position duration:
This is a two-year, temporary full-time appointment with the possibility of renewal for one additional year based on funding and performance.

Application Window


Open date: October 14, 2025




Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Mar 31, 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 Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.



The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.



Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.



The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.



The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.



UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.



The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.



UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.



This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.



UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values



Qualifications

Basic qualifications (required at time of application)

Advanced degree or enrolled in an advanced degree program.



Additional qualifications (required at time of start)

  • Advanced degree.
  • Two years of experience providing reference and instructional services in an academic or professional setting.


Preferred qualifications

  • Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  • Demonstrated commitment to the Library's values.
  • Demonstrated analytical, presentation, and communication skills.
  • Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  • Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  • Participation in The Carpentries or other data science education program.
  • Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  • Experience working collaboratively with multiple stakeholders in an academic environment.
  • Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  • Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.


Application Requirements

Document requirements

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


  • Cover Letter




Reference requirements
  • 3-5 required (contact information only)


Apply link:
JPF05126

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.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



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
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Research Engineer II
✦ New
Salary not disclosed
Atlanta, GA 1 day ago
Apply for JobJob ID295689

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Aerospace Engineering at the Georgia Institute of Technology

For more than two decades, the Daniel Guggenheim School of Aerospace Engineering has consistently ranked among the nation's top 5 aerospace engineering programs, attracting aspiring engineers to pursue their academic journeys at the Atlanta campus With an esteemed faculty of more than 40 tenured-track professors and a thriving student body of over 2,000 individuals, the school is uniquely positioned to offer a comprehensive and hands-on approach to research, scholarship, and education, spanning fixed-wing aircraft, rotorcraft, ad space domains.



Location

Atlanta, GA



Job Summary

The Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology invites applications for a Research Engineer II position. This role supports sponsored research in the modeling and simulation of turbulent reacting multiphase flows in propulsion and power systems.

The successful candidate will conduct high-fidelity computational research using Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) to investigate complex turbulent reacting flows in aerospace propulsion applications, including gas turbines, scramjets, and liquid rocket systems. Research activities are closely aligned with externally funded projects and include simulation development, model validation, data analysis, reporting, and dissemination of results.

This is a full-time research faculty appointment contingent upon sponsored funding.



Responsibilities

Research Engineer II

Responsibilities
  • Conduct high-fidelity LES and DNS simulations of geometrically complex turbulent reacting flows relevant to propulsion and power systems

  • Develop, implement, and validate computational models and numerical methods within specialized research codes

  • Optimize and execute simulation cases on advanced high-performance computing platforms

  • Process, analyze, and interpret large simulation datasets

  • Support sponsored research deliverables, including milestone reporting and technical documentation

  • Publish research findings in peer-reviewed journals and present at technical conferences

  • Contribute to proposal development and expansion of externally funded research programs

  • Assist in mentoring graduate students and supporting broader research program activities



Required Qualifications

  • A Master's degree in Aerospace Engineering and three (3) years of relevant full-time experience after completion of that degree, or
  • A Master's degree in Aerospace Engineering , and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
  • A Doctoral degree.


Preferred Qualifications

Preferred Qualifications
  • Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field

  • Demonstrated expertise in turbulence modeling, LES, and DNS

  • Experience developing, validating, and implementing subfilter/subgrid-scale models

  • Strong background in high-performance computing (HPC), including massively parallel computing on large-scale heterogeneous systems

  • Experience with CFD code development and optimization for multi-core architectures and GPU-accelerated platforms

  • Proficiency in programming languages such as Python, Fortran, C, and MATLAB

  • Experience with advanced data processing and large-scale simulation post-processing

  • Record of peer-reviewed publications and conference presentations in fluid dynamics, combustion, or related fields

  • Ability to work collaboratively in a multidisciplinary research environment and communicate technical results effectively



Required Documents to Attach

Applicants should submit a letter of application; curriculum vitae; and the names and contact information for 3 references. Application materials should be submitted as PDF files.



Contact Information

Requests for information may be directed to Marva White



USG Core Values

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Other Information

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.



Background Check

The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.



Not Specified
Institutional Research Data Analyst
✦ New
🏢 Georgia Tech
Salary not disclosed
Atlanta, GA 1 day ago
Apply for JobJob ID295329

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.



Department Information

The Office of Institutional Research and Planning (IRP) at Georgia Tech is a research and analytics service unit dedicated to supporting the campus community. Our team of institutional research and data analytics professionals combines technical and creative skills to inform institutional strategic decision-making, planning, and research across campus. In addition to institutional reporting and compliance, IRP provides data education, support, and resources to all campus units.

Visit our website to learn more about what we do:



Job Summary

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies.



Responsibilities

Job Duty 1 -
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 -
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 3 -
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 4 -
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 5 -
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 6 -
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 7 -
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 8 -
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.

Job Duty 9 -
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 10 -
Perform other job-related duties as assigned.



Responsibilities

The Institutional Research Data Analyst will also be expected to perform various duties specific to institutional research, including but not limited to:

  • Responding to intermediate to high difficulty/complexity ad-hoc data and analysis requests
  • Adhering to federal, state, and institutional policies, regulations, and requirements related to data security, privacy, and governance
  • Completing or supporting the completion of externally-driven compliance and data-related reporting including

    • Federal, e.g., IPEDS, NSF-HERD, NSF-GSS, etc.
    • State, e.g., USG data collections, data requests, etc.
    • Higher education organizations, e.g., AAUDE, SREB, NSC, accrediting bodies, etc.


Required Qualifications

Educational Requirements
Bachelor's Degree in related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required (some profiles may require additional education).

Required Experience
Four or more years of relevant experience.



Proposed Salary

Annual Salary Range: $75,751 to $80,000



Knowledge, Skills, & Abilities

SKILLS
o Performs all the standard and technical aspects of the job
o Applies in-depth professional, technical, or industry knowledge to manage significantly complex
assignments/projects/programs
o Advanced knowledge of principles and practices of a particular field of specialization and Institute
policies, practices, and procedures



USG Core Values

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Other Information

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.



Background Check

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening



Not Specified
Staff Data Engineer ( Boston or Chicago )
✦ New
Salary not disclosed
Chicago, IL 1 day ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
Electrical Engineering Intern
✦ New
Salary not disclosed
Dubuque, IA 1 day ago

Rite-Hite is the global leader in the manufacture and distribution of industrial loading dock and door equipment. Our innovative products and world class sales organization ensure solid, consistent growth, both for our company and our staff. We are always looking ahead to develop innovative new products and services to improve our customers' safety, security, and productivity.

What We Offer:

Rite-Hite provides competitive compensation and a comprehensive benefits package with medical, dental, and vision coverage along with life and paid medical leave. We also provide a retirement savings plan that combines 401(K) with company match and profit sharing. Paid holidays, vacation, and up to five paid personal/sick days per year round out the package.

Rite-Hite is an Equal Opportunity/Affirmative Action employer offering a drug free workplace for our customers and employees.

Job Description:

We are seeking a motivated and detail-oriented Electrical Engineering Intern to join our team at our manufacturing facility in Dubuque, IA. In this role, you will support electrical engineering staff in the design, testing, analysis, and improvement of electrical systems, components, and products. This internship provides hands-on experience with real-world electrical engineering applications and the opportunity to apply academic knowledge in a professional environment.

Essential Duties and Responsibilities

  • Assist electrical engineers with the design, development, and testing of circuits, control systems, and electronic components.
  • Perform data collection, signal analysis, and documentation to support ongoing electrical engineering projects.
  • Create, update, and review electrical schematics, wiring diagrams, PCB layouts, and technical reports.
  • Conduct research on electrical components, emerging technologies, and engineering methods as assigned.
  • Support troubleshooting, root-cause analysis, and quality checks on electrical systems or prototypes.
  • Participate in design reviews, project meetings, and technical presentations.
  • Follow company safety procedures, electrical standards (e.g., NEC, IEC), and engineering best practices.

Education and/or Experience

  • Currently pursuing a bachelor's degree in Electrical Engineering or a closely related field.
  • Strong analytical, mathematical, and problem-solving skills.
  • Familiarity with electrical engineering tools, laboratory equipment, and simulation software.
  • Effective communication and teamwork abilities.
  • Willingness to learn and adapt in a fast-paced engineering environment.

Preferred Qualifications

  • Experience with tools such as MATLAB, LTspice, PSpice, Simulink, LabVIEW, Python, or CAD for electrical design (e.g., Altium, KiCad, AutoCAD Electrical).
  • Hands-on project, lab, or internship experience in circuits, electronics, power systems, or embedded systems.
  • Knowledge of electrical safety standards, PCB design principles, or relevant technical concepts (e.g., signal processing, control systems, microcontrollers)

Additional Job Information:

internship
Staff Software Engineer, Conversion Data Privacy
✦ New
Salary not disclosed
San Francisco, CA 1 day 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.

Team & Mission


The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.



Role Summary


We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.



What you'll do:



  • Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  • Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  • Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  • Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  • Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  • Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  • Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.


What we're looking for:



  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  • Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  • Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  • Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  • Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  • Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.


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-REMOTE


#LI-KK6

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$177,185—$364,795 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
Identity & Access Management Program Lead
✦ New
Salary not disclosed
Purchase, NY 1 day ago

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Identity & Access Management (IAM) Program Lead is responsible for supporting the coordination, execution, and continuous improvement of the organization's enterprise IAM program. This role oversees the design, governance, and enforcement of policies and technologies that secure identities and access across all systems, applications, and cloud environments. The IAM Program Lead protects sensitive information and critical assets by managing the full identity lifecycle and enforcing secure, least privileged access.

Essential Duties and Responsibilities

  • Execute on a comprehensive enterprise IAM program and multiyear roadmap aligned to organizational goals.

  • Develop, implement, and maintain IAM policies and procedures that meet legal, regulatory, and industry best practice requirements.

  • Identify, assess, and mitigate risks related to identity lifecycle management, authentication, authorization, and privileged access.

  • Continuously improve IAM processes to address evolving security threats.

  • Collaborate with cybersecurity, engineering, and legal teams to investigate and remediate incidents.

  • Support the design, deployment, and enforcement of IAM technologies-including identity governance, authentication services, SSO/MFA, directories, and privileged access tools.

  • Ensure adherence to security frameworks and standards such as NIST, ISO 27001, Zero Trust principles, and regulatory requirements.

  • Regularly evaluate and enhance IAM capabilities across identity lifecycle, governance, authentication, authorization, and privileged access domains.

  • Partner with stakeholders across business, IT, cloud, and security teams to promote IAM best practices and optimize user experience.

  • Maintain awareness of emerging IAM technologies, threats, and trends to sustain a modern, resilient IAM program.

Qualifications Expected for Position

  • Bachelor's degree in information systems, Computer Science, Business, or equivalent experience.

  • 5+ years of experience in the Identity Security or IAM domain.

  • Handson experience across IAM and PAM platforms, including Privileged Access Management tools and Identity Governance & Administration solutions such as SailPoint.

  • Strong understanding of Active Directory / Entra ID, MFA processes, SSO, identity federation, and IAM authentication protocols (SAML, OAuth2, OIDC, Kerberos).

  • Experience designing and implementing role-based access control (RBAC), attribute-based access control (ABAC), and enterprise access provisioning strategies.

  • Experience implementing IAM and PAM capabilities across cloud environments such as Azure, AWS, and/or GCP, with familiarity in Zero Trust principles including Identity, Device Posture, application access & continuous verification.

  • Knowledge of modern IAM trends and security practices.

  • Experience with DevSecOps aligned automation, access provisioning, policy enforcement, and compliance reporting.

Bonus Qualifications

  • Strong strategic thinking and ability to bring best practices, insights, and innovations to technical and business discussions.

  • Excellent presentation, communication, negotiation, and collaboration skills.

  • Proven ability to translate complex technical concepts into clear business terms for stakeholders at all levels.

  • Familiarity with programming/scripting languages such as Java or Python for automation and integration.

  • Experience in a highly regulated environment preferred.

The base salary range for this position is$85,000 - $105,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

  • Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

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