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Machine Learning Research Engineer Jobs in California

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

You will collaborate closely with researchers and engineers across the organization to translate ... Responsibilities Conduct original research in core machine learning areas including deep learning ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

This role sits at the intersection of ambitious research and rigorous engineering: you will explore ... Collaborate with neuroscientists and machine learning engineers to build scalable, end-to-end ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA · On-site

Come join the team that turned cutting edge Generative AI research into compelling user experiences ... Description We are seeking a machine learning research engineer with experience building modern ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a pivotal role in pioneering advanced solutions. In this role, you will lead end-to-end research projects ...

Erth.AI Inc.

Research Engineer

San Francisco, CA

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a pivotal role in pioneering advanced solutions. In this role, you will lead end-to-end research projects ...

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All JobsMachine Learning Research Engineer JobsMachine Learning Research Engineer Jobs in California

Machine Learning Research Engineer information

See California salary details

$36.5K

$104.6K

$140.6K

How much do machine learning research engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning research engineer in California is $104,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

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

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What are some common challenges faced by machine learning research engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

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

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

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

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

Machine Learning Research Engineer jobs near you
Infographic showing various Machine Learning Research Engineer 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 $104,624 per year, or $50.3 per hour.

Research Scientist, Machine Learning

Sunnyvale, CA

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

$122K/yr

Full-time

Posted 24 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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