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Postdoctoral Fellow Machine Learning Jobs in California

Platform Fellow

Emeryville, CA · On-site

$56.70K - $76.90K/yr

... machine learning tools, and evolutionary frameworks, powering research across Arcadia. This is an ideal opportunity for scientists in the final stages of their PhD or postdoc training who want to ...

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Postdoctoral Fellow Machine Learning information

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in California? For Postdoctoral Fellow Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in California look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in California are:
What cities in California are hiring for Postdoctoral Fellow Machine Learning jobs? Cities in California with the most Postdoctoral Fellow Machine Learning job openings:

Autonomous Material Processing Postdoctoral Fellow

GO-Energy Geosciences

Bodega Bay, CA

$58.20K - $78.90K/yr

Other

Medical, Retirement, PTO

Posted yesterday


Job description

Berkeley Lab's Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced.

In this role, you'll bring together machine learning, real-time monitoring, and thermochemical insight to build smarter, self-improving materials processing systems. Your work will help strengthen a sustainable domestic lithium supply while significantly cutting waste, water use, and carbon emissions.

You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials are produced - making the process cleaner, smarter, and more efficient.

This is an opportunity to help reshape how critical materials are produced - moving toward smarter, data-driven processes that are autonomous, scientifically grounded, and continuously improving. If you're ambitious, creative, and excited about building the foundation for AI-powered materials processing, this is a unique opportunity to make a lasting impact in a field that's rapidly evolving.

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

  • Exceptional health and retirement benefits, including pension or 401K-style plans

  • A culture where you'll belong - we are invested in our teams! 

  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.

  • Parental bonding leave (for both mothers and fathers)

You will:

  • Develop and lead hypothesis-driven research focused on autonomous thermochemical processing of complex mineral and melt systems, with guidance from senior researchers.

  • Design and execute fundamental experiments to understand energy landscapes, phase behavior, interfacial processes, and reaction pathways in multi-component systems.

  • Design, fabricate, commission, and operate advanced laboratory systems including high-temperature reactors, calorimetry platforms, flow systems, molten salt setups, and electrochemical cells.

  • Conduct and interpret calorimetric measurements (e.g., DSC, drop solution, acid solution, isothermal titration) to quantify thermodynamic and kinetic parameters.

  • Troubleshoot and repair instrumentation and custom-built experimental systems.

  • Ensure rigorous experimental reproducibility, safety compliance, and high data integrity standards.

  • Publish high-impact, peer-reviewed research and present findings at leading international conferences.

  • Contribute to proposal development and future research directions aligned with PRISM objectives.

 

We are looking for:

  • Ph.D. in Mineral Engineering, Chemical Engineering, Materials Engineering, or related field

  • Demonstrated record of first-author publications in high-impact, peer-reviewed journals, evidencing scientific leadership and originality.

  • Proven ability to independently develop hypothesis-driven, fundamental research programs, from conceptual framing through experimental execution and publication.

  • Demonstrated understanding of kinetics, transport phenomena, and interfacial processes in complex materials systems.

  • Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control, or feedback systems.

  • Demonstrated ability to design, fabricate, operate, troubleshoot, and repair laboratory equipment, including custom-built or high-temperature/high-pressure systems.

 

Desired skills/knowledge:

  • Experience with thermodynamic modeling, phase equilibria, or melt/mineral systems, including CALPHAD, OpenCalphad, or similar tools.

  • Hands-on expertise in experimental calorimetry, including differential scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods.

  • Experience with high-temperature or molten salt systems, electrochemical systems, or reactive gas/pressure systems.

  • Experience integrating spectroscopic or analytical instrumentation (e.g., LIBS, XRF, ICP-OES/MS, XRD) into quantitative workflows.

  • Experience with CAD design, rapid prototyping, or laboratory-scale reactor design.

  • Comfort working with flow systems, pumps, hydrocyclones, pressure vessels, electrochemical cells, or thermal systems.

  • Demonstrated ability to integrate hardware, software, and analytics into coherent experimental platforms.

 

Additional information:

  • Application date: Priority consideration will be given to candidates who apply by April 1, 2026. Applications will be accepted until the job posting is removed.

  • Appointment type: This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

  • Salary range: The monthly salary range for this position is $6,573 - $8,921 and is expected to start at $6,573 or above. Postdoc positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D postdoctoral and/or related research experience.

  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

  • Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).

  • Union Represented: This position is represented by a union for collective bargaining purposes.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov


Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: 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, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.