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Research Assistant Machine Learning Jobs in California

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

We apply deep learning research to large scale neural datasets to decode internal thought directly ... You will design and implement advanced machine learning models for EEG-based neural decoding ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research. Minimum Qualifications: • Master's degree ...

LLNL

Machine Learning Researcher

Livermore, CA

Research, develop, implement, and evaluate new machine learning and data analysis techniques for multiple applications in a collaborative scientific environment. * Actively participate with project ...

New

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159.10 - $238.70/hr

Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research. Minimum Qualifications: • Master's degree ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

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Research Assistant Machine Learning information

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How much do research assistant machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for research assistant machine learning in California is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.14 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in California?

For Research Assistant Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in California look for?

The top searched job categories for Research Assistant Machine Learning jobs in California are:

What cities in California are hiring for Research Assistant Machine Learning jobs?

Cities in California with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,974 per year, or $21.6 per hour.

RESEARCH ASSISTANT I

Sanford Burnham Prebys

San Diego, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Sanford Burnham Prebys is a vibrant global community of scientists and researchers dedicated to advancing biomedical sciences. They are seeking a highly motivated Research Assistant I in computational biology and Artificial Intelligence to support their lab in developing ML/AI tools for analyzing cellular systems and human diseases.
Responsibilities:
• Perform integrative analyses across single-cell and multi-omics datasets to derive biological insights.
• Develop, document, and maintain computational pipelines for data processing, modeling, and visualization.
• Contribute to figure generation, results summaries, and manuscript preparation.
• Collaborate with experimental scientists to translate questions into analysis plans and interpretable outputs.
• Practice reproducible research workflows (version control, well-annotated code, and shareable reports).
Qualifications:
Required:
• B.Sc. in a quantitative discipline (computer science, computational biology, bioinformatics, systems biology)
• Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration.
• Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis.
• Evidence of prior coding projects (GitHub, course projects, notebooks, or publications).
Preferred:
• M.Sc. in quantitative disciplines
• Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration.
• Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis.
• Evidence of prior coding projects (GitHub, course projects, notebooks, or publications).
Company:
Sanford Burnham Prebys is a preeminent, independent biomedical research institute dedicated to understanding basic human biology and disease and advancing scientific discoveries to profoundly impact human health. Founded in 1976, the company is headquartered in La Jolla, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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