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Research Assistant Machine Learning Jobs in California

Howard

Research Assistant

Seeley, CA

$24/hr

The Research Assistant will contribute to interdisciplinary projects within the Department of ... Develop, train, and evaluate machine learning and deep learning models . * Review scientific ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$9.8K/wk

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

LLNL

Machine Learning Research Engineer

Livermore, CA

$146K - $222K/yr

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

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 ...

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 ...

HHM CPAs

Machine Learning Researcher

San Francisco, CA · On-site

$150K - $300K/yr

This is a highly autonomous research role where shipping impactful models matters more than ... Experience training machine learning models from scratch with full ownership of data, architecture ...

HHM Talent

Machine Learning Researcher

San Francisco, CA · On-site

$150K - $300K/yr

This is a highly autonomous research role where shipping impactful models matters more than ... Experience training machine learning models from scratch with full ownership of data, architecture ...

HHM CPAs

Machine Learning Researcher

San Francisco, CA · On-site

$150K - $300K/yr

This is a highly autonomous research role where shipping impactful models matters more than ... Experience training machine learning models from scratch with full ownership of data, architecture ...

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 ...

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 Jul 30, 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 job?

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 in 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 in the Research Assistant Machine Learning position, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $44,974 per year, or $21.6 per hour.

Research Assistant

Howard

Seeley, CA

$24/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Research Assistant will contribute to interdisciplinary projects within the Department of Internal Medicine at the Howard University College of Medicine, focusing on Artificial Intelligence (AI), Machine Learning (ML), Computational Medicine, and Data Analytics. This position supports ongoing research aimed at developing predictive, diagnostic, and intervention models that advance healthcare delivery, improve patient outcomes, and address complex challenges in precision and population health.

The Research Assistant will work closely with the Principal Investigator and research collaborators to perform data-driven analysis, computational modeling, and literature reviews. This role provides valuable hands-on experience for students interested in research at the intersection of AI and medicine.

Duties and Responsibilities:

  • Assist with data collection, curation, preprocessing, and integration from diverse biomedical and clinical sources.
  • Conduct exploratory data analysis, data visualization, and feature engineering.
  • Develop, train, and evaluate machine learning and deep learning models.
  • Review scientific literature and summarize findings to support ongoing research projects.
  • Contribute to technical documentation, manuscripts, and progress reports.
  • Collaborate effectively with interdisciplinary teams across research and clinical domains.
  • Maintain accurate records of research workflows, results, and code repositories.

Minimum Qualifications:

  • Current enrollment in a Bachelor's, Master's, or Ph.D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field.
  • Must be at least a third-year undergraduate student (Junior or Senior status) or higher.
  • Demonstrated proficiency in Python and related libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with data analysis and visualization using tools such as Matplotlib, Seaborn, or Plotly.
  • Foundational understanding of AI, machine learning, and data science concepts.
  • Strong analytical thinking, problem-solving, and written communication skills.
  • Ability to work independently and collaboratively in a research environment.

Preferred Qualifications:

  • Experience working with biomedical, clinical, or public health datasets.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, or Microsoft Azure).
  • Experience with version control systems (e.g., Git/GitHub).
  • Prior research or academic publication experience.

Compliance Salary Range Disclosure

$24.00 per hour

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