AI Researcher Jobs
AI Researcher jobs are open across technology, healthcare, finance, and defense, from new-grad to principal and staff scientist levels, with common 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 Researcher Jobs by Experience Level
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Find AI Researcher JobsAI Researcher Job Market
Who's Hiring
- ByteDance38
- TikTok19
- Google18
- Meta16
- Carnegie Mellon University9
Top Industries Hiring
- Technology & Software63
- Science & Research19
- Education9
- Electronics & Hardware8
- Biotechnology & Pharmaceuticals5
What Employers Look For
The qualifications that appear most often in AI researcher jobs.
- PhD or master's degree in machine learning, computer science, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Peer-reviewed publications at top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong mathematical foundations in linear algebra, probability, and optimization
- Ability to communicate research findings clearly to both technical and non-technical stakeholders
Tips for Your AI Researcher Job Search
Tailor your resume to research depth
Hiring managers for ai researcher roles scan for publication count, conference venues, and benchmark results before they read your summary. List every peer-reviewed paper, preprint, or workshop contribution with the venue name and year, and call out any state-of-the-art results by metric.
Show working code alongside your publications
Many ai researcher panels expect a GitHub profile with clean, reproducible experiment code. If your published work lives behind a closed repo, port a representative experiment into a public notebook before you start applying so reviewers can verify your implementation skills independently.
Apply early to roles that fit
Migrate Mate lists ai researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by research agenda
Job titles like 'research scientist' and 'applied researcher' can mean very different things depending on whether the team publishes externally or ships models directly to products. Read the publications section of a team's page before applying so your cover letter names their actual research direction.
Prep a research talk, not just answers
Most ai researcher final rounds include a 45-minute research presentation to the full team. Practice presenting your best paper to a non-specialist audience, because interviewers will probe your ability to explain tradeoffs and limitations, not just results.
Negotiate compute and publication rights early
Before you accept an offer, confirm the team's publication approval process and your access to GPU clusters or cloud compute budgets. These terms affect your ability to do competitive research and are far easier to negotiate before you sign than after.
AI Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most ai researchers?
The companies hiring the most ai researchers right now include ByteDance, TikTok, and Google, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in organizations running large-scale model development programs alongside applied product teams.
How many ai researcher jobs are remote?
About 44% of ai researcher openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible research roles in tech. Sub-areas focused on theoretical work, natural language processing, and independent research tend to offer the highest share of remote arrangements, while roles that require direct access to proprietary hardware or lab infrastructure are more likely to be on-site.
How do you become an ai researcher?
Most ai researchers start by completing a graduate degree in machine learning, statistics, or computer science, then build a publication record through thesis work, internships, or independent projects. Contributing to open-source research codebases, presenting at workshops, and posting reproducible experiments publicly helps establish credibility before your first full-time role. Many practitioners move into research from applied engineering by returning to graduate school or publishing alongside their day job.
Can you get an ai researcher job with little or no experience?
Entry-level ai researcher roles do exist, but they almost always require a strong graduate research background even when professional experience is limited. The most effective path is to complete a research internship during your degree, co-author at least one published or arxiv-posted paper, and build a public codebase that demonstrates you can run rigorous experiments end to end. Some teams also hire exceptional candidates directly from undergraduate programs if their independent research output is competitive.
What does the ai researcher interview process look like?
A typical ai researcher interview process runs from an initial recruiter screen to a technical phone interview covering machine learning fundamentals, then a take-home research problem or coding assessment, and finally an on-site or virtual loop that includes a research presentation, deep-dive conversations with team members on your past work, and a system design or experiment design discussion. Some organizations also include a separate meet-the-team session before extending an offer.
Where can I find and apply to ai researcher jobs?
You can find and apply to ai researcher jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your background and research focus, then apply directly to each one that fits.
See All 383+ AI Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
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