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Machine Learning Research Analyst Jobs in California

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

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 ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K/yr

Run controlled experiments to test research hypotheses, analyze outcomes, and make informed ... Produce and submit research findings to top-tier machine learning conferences and workshops such as ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

... analyze outcomes, and make informed decisions in collaboration with research and engineering ... machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues • ...

Apple

Machine Learning Research Engineer

Cupertino, CA

$150K - $277K/yr

... frontier of machine learning - including computer vision, image and video generation ... Strong and analytical skills will be critical towards solving challenging problems in uncharted ...

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Machine Learning Research Analyst information

What does a machine learning research analyst do?

A Machine Learning Research Analyst studies and develops algorithms that enable computers to learn from data. They analyze large datasets, experiment with different machine learning models, and evaluate their performance to solve complex problems. Their work often involves staying updated with the latest research in artificial intelligence and applying these advancements to real-world applications. The role typically requires strong programming, statistical, and problem-solving skills.

How does a machine learning research analyst typically collaborate with data scientists and engineers during a project?

As a Machine Learning Research Analyst, you’ll often work closely with data scientists to interpret complex data sets, develop hypotheses, and validate models. Collaboration with engineers is essential to ensure that research findings are correctly implemented into production systems. Regular meetings, code reviews, and joint problem-solving sessions are common, allowing you to provide analytical insights while engineers focus on system scalability and deployment. This teamwork helps bridge the gap between theoretical research and practical application, leading to impactful solutions.

What are the key skills and qualifications needed to thrive as a machine learning research analyst, and why are they important?

To thrive as a Machine Learning Research Analyst, you need a solid background in mathematics, statistics, and computer science, often demonstrated by a relevant degree or research experience. Proficiency with programming languages like Python or R, familiarity with machine learning libraries (such as TensorFlow or PyTorch), and experience with data analysis tools are typically required. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These capabilities enable analysts to develop innovative models, interpret complex data, and clearly present actionable insights to stakeholders.

What is the difference between Machine Learning Research Analyst vs Data Scientist?

AspectMachine Learning Research AnalystData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of ML algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, academic institutions, tech companies focusing on ML innovationsBusiness environments, analytics teams, tech companies applying data insights
Employer & Industry UsageResearch institutions, AI startups, tech giants focusing on ML advancementsCorporate, finance, healthcare, and e-commerce sectors leveraging data for decision-making

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Research Analysts focus more on developing and testing new algorithms in research settings. Data Scientists apply these techniques to solve practical business problems, often working directly with large datasets to generate insights and support decision-making.

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

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

Infographic showing various Machine Learning Research Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Research Scientist

San Mateo, CA • On-site

Voiceflow
Software Development • 11 - 50 employees
Learn more about Voiceflowexternal

Other

PTO

Posted 23 days ago

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

  • Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
  • Collaborate with the engineering team to build and deploy production-ready research systems.
  • RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
  • Stay current with the latest developments in AI research and automation.
Qualifications
  • Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
  • Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc.) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc.).
  • Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
  • Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.
Recommended Qualifications
  • Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
  • Science: Any background or proven interested in Automated Scientific Research is a plus.
Benefits & Perks
  • Our comp is competitive against major LLM frontier lab packages
  • Unlimited PTO and flexible working arrangements
  • Conference attendance and publication support
Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development. We are an e-verify employer.

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