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Machine Learning Research Analyst Jobs (NOW HIRING)

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

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$99.5K

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

As of Sep 11, 2026, the average yearly pay for machine learning research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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 are hiring for Machine Learning Research Analyst jobs?

Cities with the most Machine Learning Research Analyst job openings:

What states have the most Machine Learning Research Analyst jobs?

States with the most job openings for Machine Learning Research Analyst jobs include:

What are popular job titles related to Machine Learning Research Analyst jobs?

For Machine Learning Research Analyst jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Research Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Machine Learning Research Scientist

San Diego, CA • On-site, Remote

GroupSolver
Marketing Research • 11 - 50 employees
Learn more about GroupSolverexternal

Part-time

Re-posted 20 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.
  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:
  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:
  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.

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