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Ml Research Assistant Jobs (NOW HIRING)

Generalist

Research Assistant

Somerville, MA · On-site

$21 - $29/hr

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 ...

Generalist

Research Assistant

San Mateo, CA · On-site

$22 - $30.25/hr

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 ...

Generalist

Research Assistant

San Francisco, CA · On-site

$22.75 - $31.25/hr

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 ...

Theorem

ML Research Engineer

San Francisco, CA · On-site

They are seeking an ML Research Engineer to develop software correctness feedback systems that ... to collaborate and assist team members • Willingness to explore new technologies and ...

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

$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)

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 ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site

$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 ...

CACI

Senior AI/ML Research Engineer

Florham Park, NJ · On-site

$109K - $150K/yr

Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... for customers. Assist in developing new business concepts and successfully develop winning ...

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 ... They will attend project meetings at the request of the PI, co-PIs, and AI/ML lead, and may be ...

Umd

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 ... They will attend project meetings at the request of the PI, co-PIs, and AI/ML lead, and may be ...

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How much do ml research assistant jobs pay per hour?

As of Sep 10, 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 is an ML Research Assistant?

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.

What skills and qualifications are needed to thrive as an ML Research Assistant?

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 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.

How to become an ML research assistant?

To become an ML research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, along with programming skills in languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. A relevant bachelor's degree is often required, and advanced roles may require a master's or PhD. Gaining research experience through internships, projects, or academic work can improve prospects.
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Ml Research Assistant jobs near you
Infographic showing various Ml Research Assistant job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Assistant

Somerville, MA • On-site

Generalist
See more jobs at Generalistexternal

$21 - $29/hr

Other

Posted 8 days ago

Key responsibilities

  • Run structured experiments on robot platforms and collect high-quality data while tracking experimental conditions

  • Design evaluation tasks, prepare physical setups, and troubleshoot hardware or procedural issues

  • Analyze experimental results to assess model improvements, ensure repeatability, and communicate findings clearly

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

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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