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Research Assistant Machine Learning Jobs in Milpitas, CA

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

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

LLNL

Machine Learning Researcher

Livermore, CA · On-site

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

LLNL

Machine Learning Researcher

Livermore, CA · On-site

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

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$216K - $324K/yr

The Machine Learning Platform Technology team is building groundbreaking technology for search ... Our infrastructure and research for data curation form the backbone of Apple Intelligence. It ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

The Machine Learning Platform Technology team is building groundbreaking technology for search ... Our infrastructure and research for data curation form the backbone of Apple Intelligence. It ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Write clean, modular, and sustainable code to translate research ideas into production-ready ...

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

As of Sep 12, 2026, the average hourly pay for research assistant machine learning in Milpitas, CA is $25.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $29.71 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 Milpitas, CA?

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

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The top searched job categories for Research Assistant Machine Learning jobs in Milpitas, CA are:

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Cities near Milpitas, CA 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 Milpitas, CA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $53,107 per year, or $25.5 per hour.

Research Scientist, Machine Learning

Sunnyvale, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$122K/yr

Full-time

Posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Research Scientist, Machine Learning Responsibilities:
  • Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
  • Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
  • Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
  • Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
  • Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
  • Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
  • Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
  • Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
  • Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
  • 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
  • Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations

Preferred Qualifications:
  • Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
  • Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
  • Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
  • Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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