Remote Staff Research Engineer Jobs
Remote staff research engineer jobs are open across the U.S. at remote-first companies and distributed research teams actively hiring right now. Employers posting remote openings include micro1, Deepgram, and Alt Platform, across sectors including Science & Research. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 19+ Remote Staff Research Engineer jobs
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Robotics & Embodied AI Research
Job Type: Full-time
Location: Remote
The Role
We're hiring a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems.
This is a hands-on research role focused on advancing vision-language-action (VLA) models, generalist robot policies, world models, and emerging approaches to embodied intelligence. You'll design and execute end-to-end robotics experiments, leveraging real-world data, simulation, and human-in-the-loop systems to evaluate and improve robot performance.
You'll independently explore promising research directions and collaborate with leading AI and robotics teams to translate experimental findings into scalable solutions.
What You'll Do
- Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
- Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
- Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
- Leverage flow, our human-in-the-loop annotation platform, to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
- Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
- Rapidly prototype and validate novel approaches to robot learning, policy optimization, and embodied intelligence.
- Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.
What We're Looking For
- Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
- Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
- Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
- Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
- Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
- Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.
- Strong research ownership, experimental judgment, and ability to independently execute complex technical projects.
- Strong technical communication and collaboration skills across research and engineering teams.
Preferred Qualifications
- Experience with world models, reinforcement learning, imitation learning, or diffusion-based robot policies.
- Hands-on experience with teleoperation, robotics hardware, sensor integration, or real-world policy deployment.
- Familiarity with robotics simulators such as MuJoCo, Isaac Sim, or comparable environments.
- Experience building multimodal robotics datasets from egocentric video, robot trajectories, or sensor data.
- Prior experience at a leading robotics or frontier AI research lab.
- Contributions to robotics research publications, open-source frameworks, or benchmark development.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$320,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Apply now
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Robotics & Embodied AI Research
Job Type: Full-time
Location: Remote
The Role
We're hiring a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems.
This is a hands-on research role focused on advancing vision-language-action (VLA) models, generalist robot policies, world models, and emerging approaches to embodied intelligence. You'll design and execute end-to-end robotics experiments, leveraging real-world data, simulation, and human-in-the-loop systems to evaluate and improve robot performance.
You'll independently explore promising research directions and collaborate with leading AI and robotics teams to translate experimental findings into scalable solutions.
What You'll Do
- Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
- Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
- Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
- Leverage flow, our human-in-the-loop annotation platform, to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
- Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
- Rapidly prototype and validate novel approaches to robot learning, policy optimization, and embodied intelligence.
- Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.
What We're Looking For
- Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
- Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
- Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
- Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
- Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
- Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.
- Strong research ownership, experimental judgment, and ability to independently execute complex technical projects.
- Strong technical communication and collaboration skills across research and engineering teams.
Preferred Qualifications
- Experience with world models, reinforcement learning, imitation learning, or diffusion-based robot policies.
- Hands-on experience with teleoperation, robotics hardware, sensor integration, or real-world policy deployment.
- Familiarity with robotics simulators such as MuJoCo, Isaac Sim, or comparable environments.
- Experience building multimodal robotics datasets from egocentric video, robot trajectories, or sensor data.
- Prior experience at a leading robotics or frontier AI research lab.
- Contributions to robotics research publications, open-source frameworks, or benchmark development.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$320,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Apply now
See All 19 Remote Staff Research Engineer Jobs
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Find JobsRemote Staff Research Engineer Job Market
Who's Hiring
Top Industries Hiring
- Science & Research
What Employers Look For
The qualifications that appear most often in remote staff research engineer jobs.
- PhD in computer science, electrical engineering, or a closely related field
- Demonstrated publication record at peer-reviewed conferences or journals
- Proficiency in Python and at least one deep learning framework such as PyTorch or JAX
- Experience designing and running large-scale experiments on distributed compute infrastructure
- Ability to collaborate across research and product engineering teams to bring work to deployment
- Strong written and verbal communication skills for presenting research findings to mixed audiences
Tips for Your Remote Staff Research Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote staff research engineer openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your research focus and seniority level before postings fill.
Show your async research output publicly
Remote employers can't observe your day-to-day work, so your public output does the screening for them. Post preprints, maintain a research blog, or keep an active GitHub with well-documented projects that demonstrate independent research execution.
Demonstrate written communication depth in applications
Remote staff research engineer roles run on written communication. Use your cover letter and any take-home prompts to show you can explain complex research decisions clearly in writing. Hiring managers treat your application materials as a live sample of your async collaboration skills.
Target companies with existing distributed research teams
Remote staff research engineer roles land better at companies already structured for distributed work. Look for organizations with public engineering or research blogs, open-source activity, and remote-first hiring patterns, as these signal the infrastructure and culture that makes remote research work function.
Remote Staff Research Engineer Jobs: Frequently Asked Questions
How do I get a remote staff research engineer job?
Target remote-first technology companies, AI labs, and distributed research teams that have built their workflows around async collaboration. Remote employers screen for strong written communication, self-directed project management, and the ability to push research forward without in-person oversight. Publishing your work publicly, contributing to open-source research, and showing a clear history of independent output gives your application a concrete edge.
Which companies hire remote staff research engineers?
Employers currently hiring remote staff research engineers include micro1, Deepgram, and Alt Platform, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, AI and machine learning labs, and distributed product companies across software and life sciences are the most consistent sources of remote staff research engineer openings.
Can you get a remote staff research engineer job with no experience?
Yes, but remote entry-level staff research engineer roles are harder to land because employers expect you to operate independently from day one with minimal oversight. Early-career candidates can strengthen their case by publishing research projects publicly, contributing to open-source work, and demonstrating strong async written communication. Smaller remote-first startups and research-adjacent companies tend to be more open to candidates building their first formal track.
Do you need a degree for remote staff research engineer jobs?
Not always. Many remote employers weigh published research output, open-source contributions, and demonstrable technical depth more heavily than a specific credential. That said, staff research engineer roles often involve rigorous methods work, so a graduate degree in a relevant field does help at larger or more research-intensive organizations. What matters most is evidence you can produce original, defensible work independently.
Which industries hire the most remote staff research engineers?
The sectors hiring the most remote staff research engineers are Science & Research, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed research teams that collaborate across time zones, making fully remote staff research engineer roles a natural fit for how their organizations operate.
See All 19 Remote Staff Research Engineer Jobs
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