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Research Assistant Machine Learning Jobs (NOW HIRING)

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 ...

Parisi Labs

Machine Learning Research Engineer

Boston, MA · On-site

$210K - $275K/yr

About The Role We are looking for a machine learning research engineer to work directly with our Chief Scientist and accelerate our core modeling work. You will inherit a real model and evaluation ...

Umd

AI Research Assistant

College Park, MD

$19 - $26.25/hr

The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in their efforts to develop and refine the AI/ML backed sensemaking technology for the repository. They ...

University of Maryland

AI Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in their efforts to develop and refine the AI/ML backed sensemaking technology for the repository. They ...

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 ...

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 ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning ...

LLNL

Machine Learning Researcher

Livermore, CA

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

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

$9.8K/wk

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 ...

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

As of Sep 10, 2026, the average hourly pay for research assistant machine learning in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 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.

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Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Machine Learning Research Engineer

Redwood City, CA • On-site

Convectivecapital
See more jobs at Convectivecapitalexternal

$140K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Machine Learning Research Engineer

WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. We design, manufacture, and operate our own balloons, using their observations to generate otherwise unattainable weather intelligence.

Our mission is to eliminate weather uncertainty and help humanity adapt to climate change—whether by predicting hurricanes or speeding the adoption of renewables. The founding team of Stanford engineers was named Forbes 2019 30 Under 30 and is backed by top-tier investors, including Khosla Ventures and Footwork VC.

WindBorne builds AI weather models that run 24/7, producing global forecasts every 20 minutes. Weather forecasting presents unusually rich machine learning problems: enormous, messy datasets; imperfect ground truth; complex physical structure; and models that must work reliably in the real world.

We are looking for a broadly capable ML researcher and engineer who is passionate about machine learning and excited to push our models forward. We care more about your ability to identify important problems and make progress on them than whether your previous work fits a particular specialty.

Responsibilities
  • AI-based data assimilation — Develop methods for incorporating real-time observations from balloons, satellites, weather stations, and other sources into our forecasts.
  • A foundation model for weather — Work toward a single model capable of predicting many weather-related datasets, including variables and data products not covered by traditional global forecasts.
  • Messy, large weather datasets — Find, understand, clean, and combine large datasets with inconsistent formats, resolutions, coverage, and quality. Determine which data is actually useful and build systems that make it easier to use again.
  • Rapid experiments — Test ideas quickly, learn from failures, and follow promising results into the weeds and chase down another 1% of model improvement.
  • Infrastructure and systems — Turn successful experiments into reusable systems that accelerate future research.
  • Research direction — Form hypotheses, design convincing experiments, keep up with relevant ML research, and help decide which ideas are worth pursuing.
  • Whatever the problem needs — Venture into operations, infrastructure, evaluation, data engineering, or other technical side quests when needed to get the research working in practice.
Skills and Qualifications
  • Strong research taste: you can identify important questions, design experiments that answer them, and recognize when a result is real.
  • Deep enthusiasm for machine learning and a desire to understand models in detail rather than treating them as black boxes.
  • Strong Python and PyTorch skills, with experience developing and debugging nontrivial ML systems.
  • Experience working with large, messy datasets and building dependable pipelines or abstractions around them.
  • Able to iterate quickly while thinking systematically about which work should become durable infrastructure.
  • Comfortable crossing boundaries between research and engineering and learning unfamiliar tools or domains as needed.
  • Experience with weather, climate, geospatial data, scientific machine learning, computer vision, or time-series forecasting is helpful, but not required.
Benefits
  • 401(k)
  • Dental, health, and vision insurance
  • Unlimited PTO
  • Stock Option Plan
  • Office food and beverages
Salary
  • $140k–$240k. We consider a range of backgrounds and experience levels and adjust offers to be competitive with market rates.
Location

1600 Bridge Pkwy, Redwood City, CA. Hybrid or in-person.

What our hardware looks like

WindBorne Systems is based in Redwood Shores, California. Our technology is invented, designed, and manufactured in the USA.

© 2026 by WindBorne Systems

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