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Machine Learning Postdoc Jobs in California (NOW HIRING)

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How much do machine learning postdoc jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning postdoc in California is $111,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,795.00 and $153,739.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the most commonly searched types of Machine Learning Postdoc jobs in California? The most popular types of Machine Learning Postdoc jobs in California are:
What are popular job titles related to Machine Learning Postdoc jobs in California? For Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in California look for? The top searched job categories for Machine Learning Postdoc jobs in California are:
What cities in California are hiring for Machine Learning Postdoc jobs? Cities in California with the most Machine Learning Postdoc job openings:
Infographic showing various Machine Learning Postdoc job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $111,629 per year, or $53.7 per hour.

Postdoctoral Scholar - AI-Assisted Physical Vapor Deposition of Thin Films

MF-Molecular Foundry

Bodega Bay, CA

$84K - $94K/yr

Other

Posted 11 days ago


Job description

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar - AI-Assisted Physical Vapor Deposition of Thin Films within the Molecular Foundry Division. This position will accelerate process development and exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data Science and Infrastructure, Imaging and Manipulation, and nanofabrication facilities. The postdoc will create thin film heterostructures combining nonlinear optical materials and superconductors and other functional and passivation layers essential for realization of quantum transducers.

Novel materials in thin-film form are essential to the progress of quantum technologies. Thin-film synthesis of nonlinear optical materials with high 2 coefficients of particular interest as it will enable fabrication of quantum transducers. These are devices that enable controlled conversion of signal or excitation from one physical carrier to another and combine photonic and superconducting circuits in a monolithic device. The Molecular Foundry has acquired recently thin film deposition cluster tools aimed at synthesis of thin film materials stacks to enable integration of new functional layers in quantum devices. Of particular interest is integration of Lithium Niobate or other high 2 material with superconductors. We are looking for a researcher with experience developing synthetic protocols using reactive sputtering and pulsed laser deposition and relevant materials and thin film characterization techniques.

You will:

  • Develop materials and/or fabrication processes for phononic and superconducting devices including details materials/device characterization
  • Collaborate with Foundry scientists on material development and tailoring of interfacial properties.  
  • Present research results at national conferences and author publications.
  • Provide research support, assistance and instruction to other team members as needed.
  • Foster a culture of safety and actively promote diversity, equity and inclusion.
  • Adhere to DOE and Berkeley Lab's safety guidelines and safety culture, and contribute to an inclusive and supportive work environment for all. 

We are looking for:

  • Recent Ph.D. (within the last 3 years) in Physics, Chemistry, Material Science or a closely related field.
  • Demonstrated background in experimental research including collaborating on projects from initiation to conclusion, demonstrating creative problem-solving abilities. 
  • Experience in any combination of the following areas: 
    • Physical and chemical deposition of thin films (e.g. reactive sputtering, Pulsed laser deposition, ALD, e-beam evaporation, etc.)
    • Thin film characterization (e.g. x-ray diffractometry, optical microscopy, XPS, optical spectroscopy)
    • Analytical electron microscopy (TEM, STEM, EELS, etc.)
    • Nonlinear optical materials property measurements
    • Process development and optimization (nanofabrication and/or materials deposition)
  • Strong organizational skills including the ability to prioritize work, meet deadlines, and contribute to the planning of a scientific research program. 
  • Excellent oral and written communication skills including the ability to organize technical/scientific information, write manuscripts, and present at conferences.
  • Strong teamwork and interpersonal skills including the ability to collaborate with a diverse interdisciplinary research team.

Desired skills/knowledge:

  • Knowledge of photonic and/or superconducting materials and devices
  • Experience with electron based spectroscopic techniques such as EELS, EDS or Cathodoluminescence.
  • Background knowledge in materials or low temperature physics.
  • Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis.

Required Application Materials:

  • CV
  • Cover Letter describing applicant background and interest in the position)
  • Publication List

Additional information:

  • Application date: Priority consideration will be given to candidates who apply by April 15, 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: This position is represented by a union for collective bargaining purposes. The salary range for this position is $84,336 - $94,020. Postdoctoral 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 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).

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.

Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.

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.