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Ml Research Assistant Jobs (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... You will work closely with ML researchers and robotics engineers to run robot experiments, design ...

Howard University

Research Assistant

Washington, DC · On-site

$21 - $31/hr

Research Assistant will assist with user testing and user centered design of biometric technologies ... in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML). • ...

Howard

Research Assistant

Downing, WI · On-site

$21 - $31/hr

Research Assistant will assist with user testing and user centered design of biometric technologies ... Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML)

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Position: Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90 ... Use preferred tools, including IDEs and AI coding assistants like Cursor , Claude Code , and ...

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Texas A&M University

Research Assistant

College Station, TX · On-site

$16 - $22/hr

Job Title Research Assistant Agency Texas A&M University Department Educational Adm & Human ... Strong understanding of AI/ML concepts, model development, deployment, and responsible AI practices

Tamus

Research Assistant

College Station, TX · On-site

$16 - $22/hr

Job Title Research Assistant Agency Texas A&M University Department Educational Adm & Human ... Strong understanding of AI/ML concepts, model development, deployment, and responsible AI practices

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

The Research Assistant will contribute to interdisciplinary projects within the Department of ... ML) , Computational Medicine , and Data Analytics . This position supports ongoing research aimed ...

Howard

Research Assistant

Seeley, CA · On-site

$24/hr

The Research Assistant will contribute to interdisciplinary projects within the Department of ... ML) , Computational Medicine , and Data Analytics . This position supports ongoing research aimed ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

Howard

Research Assistant

Washington, DC

$21.75 - $30/hr

... AI/ML Laboratory and related Howard University College of Medicine initiatives by organizing ... The employee may provide task-based guidance to students, trainees, or junior research assistants ...

Howard University

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

... AI/ML Laboratory and related Howard University College of Medicine initiatives by organizing ... The employee may provide task-based guidance to students, trainees, or junior research assistants ...

Stevens

Research Assistant

Hoboken, NJ · On-site

$15.92/hr

... AI/ML, and the ability to rapidly assess feasibility and prototype across both AR and VR. Beyond ... the assistant will serve as a technical resource to the research team - scoping approaches ...

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How much do ml research assistant jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for ml research assistant 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 are some common challenges faced by ML Research Assistants when collaborating with senior researchers and engineers?

ML Research Assistants often face the challenge of bridging the gap between theoretical research and practical implementation, especially when collaborating with experienced researchers and engineers. Communication can be complex, as they may need to translate high-level research goals into experimental setups or prototype code. Additionally, ML Research Assistants must stay adaptable, as project priorities can shift quickly based on new findings or feedback. Building strong documentation and proactive communication skills are key to ensuring seamless collaboration within multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an ML Research Assistant, and why are they important?

To thrive as an ML Research Assistant, you need a solid background in mathematics, programming (Python, R), and a foundational understanding of machine learning concepts, often demonstrated by a relevant degree or coursework in computer science or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret research findings and collaborate within a team. These skills are vital to effectively support complex ML projects, contribute to innovative research, and ensure accurate, reproducible results.

What are ML Research Assistants?

ML Research Assistants are individuals who support machine learning research projects by assisting with tasks like data collection and preprocessing, literature reviews, experimental setup, model training, and result analysis. They often collaborate with researchers, graduate students, and professors to advance the development and understanding of machine learning algorithms. ML Research Assistants may also help write research papers, prepare presentations, and maintain codebases. This role is common in academic, research, and industry settings, and serves as valuable experience for those interested in pursuing advanced studies or careers in artificial intelligence.
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Ml Research Assistant jobs near you
Infographic showing various Ml Research Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Posted 11 days ago

Job description

About the Role:
We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.
At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.
You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.
A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor.
You'll be responsible for:
  • Running structured experiments on robot platforms
  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations
  • Collecting high-quality robot data and tracking experimental conditions
  • Measuring real-world success rates across tasks, robots, and model variants
  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias
  • Analyzing results to help distinguish real model improvements from noise
  • Synthesizing findings and communicating them clearly to ML researchers and engineers
  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations
  • Helping kick off training jobs, run evaluations, and organize results
  • Beta testing internal and third-party tools for teaching robots new skills
  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks
  • Writing clear documentation and playbooks so others can reproduce workflows
  • Improving experimental reliability, data quality, and operational throughput over time
You might thrive in this role if you:
  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations
  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support
  • Are diligent and detail-oriented, especially when tasks are repetitive but subtle differences matter
  • Enjoy hands-on work with physical systems, equipment, materials, or instruments
  • Are comfortable following protocols while also noticing when something is wrong or could be improved
  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation
  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests
  • Are curious about machine learning and robotics, even if you are not yet an expert in either
  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling
  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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