AI Research Scientist Jobs
AI Research Scientist jobs are open across technology, healthcare, finance, and defense, from entry-level research roles to principal and distinguished scientist positions, with specializations in natural language processing, computer vision, and reinforcement learning. Find a role that fits from the openings below and apply directly.
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AI Research Scientist, Robotics - Meta Superintelligence Labs Responsibilities:
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
- Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
- Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies
- Define, build and benchmark new capabilities needed for the next generation of AI
- Conduct research towards long-term research goals while identifying intermediate milestones
- Lead, plan, and execute novel research based on long-term objectives of the organization
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
- 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
- Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- 5+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
- Experience building systems based on machine learning and/or deep learning methods
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience working and communicating cross functionally in a team environment
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
AI Research Scientist, Robotics - Meta Superintelligence Labs Responsibilities:
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
- Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
- Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies
- Define, build and benchmark new capabilities needed for the next generation of AI
- Conduct research towards long-term research goals while identifying intermediate milestones
- Lead, plan, and execute novel research based on long-term objectives of the organization
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
- 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
- Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- 5+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
- Experience building systems based on machine learning and/or deep learning methods
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience working and communicating cross functionally in a team environment
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
AI Research Scientist Jobs by Experience Level
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Find AI Research Scientist JobsAI Research Scientist Job Market
Who's Hiring
- ByteDance18
- Google17
- Meta13
- TikTok13
- JPMorganChase11
Top Industries Hiring
- Technology & Software41
- Education14
- Banking & Financial Services10
- Science & Research6
- Investment & Asset Management6
What Employers Look For
The qualifications that appear most often in AI research scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Publication record in peer-reviewed venues such as NeurIPS, ICML, ICLR, or ACL
- Ability to communicate research findings clearly to both technical and non-technical audiences
- Familiarity with distributed training, cloud compute platforms, and experiment tracking tools
Tips for Your AI Research Scientist Job Search
Lead your resume with publications
Hiring managers for ai research scientist roles scan for peer-reviewed work before anything else. List first-author papers, preprints, and conference proceedings at the top of your resume, ahead of your work history, so reviewers can assess your research output immediately.
Match your specialization to the job description
AI research scientist postings vary widely by domain. A role focused on large language models requires a different portfolio than one in robotics or drug discovery. Tailor your application materials to the specific subdomain listed, not to AI research in general.
Apply early to roles that fit
Migrate Mate lists ai research scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a research talk before interviews
Most ai research scientist interviews include a technical presentation on your prior work. Prepare a 20-minute talk on your strongest project that covers the problem, your methodology, results, and what you would do differently, then practice fielding deep follow-up questions on every choice you made.
Surface your GitHub and model benchmarks
Reproducible results and public code repositories carry real weight when you apply. Link to your GitHub, Hugging Face model cards, or benchmark leaderboard entries directly in your resume or cover letter so reviewers can verify your claims without extra steps.
Negotiate research resources, not just compensation
When you reach the offer stage, ask specifically about compute budget, access to proprietary datasets, publication approval processes, and collaboration with external academics. These conditions affect your ability to do the work and your long-term output as a researcher.
AI Research Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most ai research scientists?
The companies hiring the most ai research scientists right now include ByteDance, Google, and Meta, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Roles are concentrated in technology and cloud infrastructure companies, though healthcare and defense organizations are increasingly active in this space.
How many ai research scientist jobs are remote?
About 44% of ai research scientist openings are fully remote or hybrid as of September 2026, making this one of the more location-flexible research roles in the job market. Sub-areas like natural language processing and generative AI tend to offer the highest share of remote positions, while robotics and hardware-adjacent research roles are more likely to require on-site presence.
How do you become an ai research scientist?
Most ai research scientists earn a PhD in machine learning, computer science, or a related quantitative field, building a publication record through graduate research and internships at research labs. You deepen expertise in a specific domain, such as natural language processing or computer vision, contribute to open-source projects or preprint servers, and apply to roles where your published work aligns with the team's active research agenda.
Can you get hired as an ai research scientist with little or no experience?
Breaking in without a traditional research background is hard but possible if you can demonstrate original work. Publishing preprints on platforms like arXiv, contributing meaningfully to open-source AI projects, placing competitively on benchmark leaderboards, or completing a research-focused master's thesis can substitute for formal industry experience when applying to junior or associate research scientist roles.
What does the ai research scientist interview process look like?
The process typically begins with a recruiter screen, followed by a technical phone interview covering machine learning fundamentals and coding. Finalists usually complete a research presentation where they walk through a past project in depth, then face a full interview loop with current researchers that includes whiteboard problem-solving, deep dives into your methodology, and discussions about research direction and scientific judgment.
Where can I find and apply to ai research scientist jobs?
You can find and apply to ai research scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
See All 379+ AI Research Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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