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Machine Learning Postdoc Jobs in California (NOW HIRING)

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K - $217K/yr

... PostDoctoral experience in relevant research areas, such as: machine learning, optimization, computer vision, natural language processing • First-authored publications at peer-reviewed conferences ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA

$154K/yr

Experience holding an industry, postdoctoral, faculty, or government researcher position * Research background in machine learning, artificial intelligence, computational statistics, applied ...

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$21.5K

$111.6K

$210K

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:
Machine Learning Postdoc jobs near you
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 Researcher, Zhou Lab

Arc Institute

Palo Alto, CA • On-site

$136K/yr

Full-time

Posted 29 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization focused on the intersection of artificial intelligence and biology. The Zhou Lab is seeking a Postdoctoral Researcher to advance machine learning applications in genomics and cell biology, working collaboratively with experimental biologists to develop models that contribute to significant scientific discoveries.
Responsibilities:
• Train and evaluate state-of-the-art machine learning models for genomics
• Design, perform, and analyze experiments for model applications
• Keep appropriate experimental records and documentation
• Analyze results with the Principal Investigator
• Collaborate with postdocs, students, and employees on model development and data analyses
• May mentor/train research associates, technicians, and students.
• Publish, present, and represent the Zhou lab in journals and conferences.
• Present at lab meetings, and participate in Arc-wide activities (seminars, science socials, symposiums, etc).
Qualifications:
Required:
• Doctorate (MD, PhD) in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Genetics/Genomics.
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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