Humanoid Parkour Learning Github Jobs in Usa

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.

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/

*PhD (or equivalent international degree)

*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

*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

• 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

  
  

• 3 required (contact information only)

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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
  

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.

• 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.

• 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

• 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.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.

You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.

What you’ll do:

• Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
• Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
• Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
• Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
• Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
• Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.

What we’re looking for:

• 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
• A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
• Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
• Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
• The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.

Nice to have:

• Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
• Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
• Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
• Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).

About Casa Cipriani:

Casa Cipriani New York is a private members' club and luxury hotel located within the historic Battery Maritime Building. The property features over 20,000 square feet of elegant event space, a 47-room hotel, multiple dining and lounge venues, and a world-class fitness and wellness center.

Since opening in 2021, Casa Cipriani New York has become one of Manhattan's most distinguished clubs, offering an exclusive environment for members to connect, relax, and engage through curated cultural, culinary, and wellness experiences. As Casa Cipriani expands nationally and internationally, our vision is to create a consistent, elevated standard of hospitality and programming that reflects our Four Pillars: Culture, Authenticity, Simplicity, and Elegance.

POSITION PURPOSE:

Casa Cipriani New York is seeking a highly organized and hospitality-driven Learning & Development Manager to oversee all training and development initiatives across the property. This role is responsible for ensuring employees across the hotel, private members' club, restaurants, lounges, and event operations are equipped with the skills, knowledge, and behaviors necessary to deliver a consistent, refined luxury guest experience.

The Learning & Development Manager partners closely with Human Resources, senior leadership, and department heads to support operational excellence, service consistency, and brand standards aligned with Casa Cipriani's Four Pillars: Culture, Authenticity, Simplicity, and Elegance.

ESSENTIAL FUNCTIONS AND DUTIES:

• Design, implement, and manage a comprehensive, property-wide training strategy aligned with operational goals and service standards
• Develop and maintain structured onboarding programs, including role-specific and phased training plans for new hires
• Create, update, and oversee department- and position-specific training curricula across all operational areas
• Deliver and facilitate service standards training, leadership development programs, and operational skill-building initiatives
• Ensure training programs consistently reinforce luxury hospitality service expectations and guest experience standards
• Partner with department leaders to identify performance gaps and implement targeted training solutions
• Manage and administer the Learning Management System (LMS), including course assignments, completion tracking, and reporting
• Develop and maintain an organized digital library of SOPs, training materials and job aids, including presentations, facilitator guides, and micro-learning tools
• Collaborate with department heads to assess training needs and align programs with operational priorities
• Coach managers and supervisors on effective training, onboarding, and team development practices
• Ensure all required compliance, policy, and operational training is delivered, documented, and tracked accurately
• Maintain training records to support audits, regulatory requirements, and internal reporting
• Monitor training participation and effectiveness through feedback, completion data, and operational performance indicators
• Provide regular updates and recommendations to HR and leadership regarding training outcomes and improvement opportunities
• Continuously refine training programs based on business needs, guest feedback, and operational insights

KNOWLEDGE, EXPERIENCE AND SKILLS:

• 3–5 years of experience in training, learning & development, or hospitality leadership, preferably within a luxury or high-end hospitality environment
• Proven experience designing, facilitating, and managing training programs across multiple departments
• Strong understanding of luxury service standards and hospitality operations
• Experience managing an LMS and digital learning platforms preferred
• Excellent facilitation, presentation, and communication skills
• Strong organizational and time-management skills with the ability to manage multiple initiatives simultaneously
• Ability to collaborate effectively across departments and leadership levels
• Professional discretion within a private members' club environment

PHYSICAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION:

• Ability to stand, walk, and move throughout the property for extended periods
• Capacity to facilitate in-person training sessions and conduct on-floor observations
• Ability to lift and carry training materials or equipment weighing up to 25 pounds
• Flexibility to bend, reach, and perform light physical tasks as needed
• Ability to work a flexible schedule based on operational and training needs

INTENT AND FUNCTION OF JOB DESCRIPTIONS

All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer.

Cipriani is an equal opportunity employer.

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

***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.

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

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 - $25.00 / hour
• Earn an additional $2.00/hour (premium pay) for hours worked in the home setting starting at 3 pm
• 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.

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IBTI

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.

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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.

Our Commitment to Inclusion:

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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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.

Our Commitment to Inclusion:

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.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

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.

Our Commitment to Inclusion:

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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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.

Our Commitment to Inclusion:

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

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.

Our Commitment to Inclusion:

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

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

Final date: Saturday, Mar 28, 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.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher 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 researcher will conduct independent research at a level comparable to the Professor series.

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.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

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

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

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*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/C++, MATLAB, Bash.

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

*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.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

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