AI Research Engineer Jobs
AI Research Engineer jobs are open across technology, healthcare, finance, and defense, at every level from new-grad to principal and staff, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
Find AI Research Engineer JobsLooking for remote work? View remote AI research engineer jobs →Student or new grad? View AI research engineer internships →Overview
Showing 5 of 624+ AI Research Engineer jobs
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 Engineer Jobs by Experience Level
Top Cities Hiring AI Research Engineers
Explore AI research engineer openings in the cities hiring most right now.
See All 624+ AI Research Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Research Engineer JobsAI Research Engineer Job Market
Who's Hiring
- ByteDance38
- Google19
- TikTok19
- Meta16
- JPMorganChase14
Top Industries Hiring
- Technology & Software77
- Education21
- Science & Research20
- Banking & Financial Services12
- Electronics & Hardware8
What Employers Look For
The qualifications that appear most often in AI research engineer jobs.
- Master's or PhD in computer science, machine learning, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Familiarity with distributed training systems and GPU cluster environments
- Strong mathematical foundation in linear algebra, probability, and optimization
- Demonstrated research output such as publications, preprints, or open-source contributions
Tips for Your AI Research Engineer Job Search
Tailor your resume to model types
Hiring managers scan for the specific model architectures you've worked with, not just 'machine learning experience.' Name the frameworks, model families, and scale of training runs on your resume so reviewers can immediately match your background to their stack.
Build a public research artifact
A preprint, a well-documented GitHub repo, or a reproducible benchmark result carries more weight than coursework for AI research roles. Link to something you built or contributed to so hiring teams can evaluate your thinking before the first screen.
Apply early to roles that fit
Migrate Mate lists ai research engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by research scope before applying
Some ai research engineer roles are fundamental research positions, others are applied or product-focused. Read job descriptions for phrases like 'publish at top venues' versus 'deploy to production' so you target openings that match the work you actually want to do.
Prepare a paper walkthrough for interviews
Most ai research engineer loops include a deep-dive on a paper you've authored or studied closely. Practice explaining the motivation, methodology, and limitations out loud, including what you'd do differently, because interviewers probe well beyond surface-level summaries.
Negotiate compute access alongside compensation
For research roles, GPU budget and cluster access directly affect what you can accomplish. Ask early in the offer stage about available compute resources, research cycles separate from product work, and publication policy so you understand the real conditions of the job.
AI Research Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai research engineers?
The companies hiring the most ai research engineers right now include ByteDance, Google, and TikTok, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of September 2026. Openings are concentrated at technology companies, defense contractors, and healthcare AI teams building and scaling foundation models.
How many ai research engineer jobs are remote?
About 47% of ai research engineer openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible engineering specializations. Roles focused on modeling, evaluation, and literature research tend to be the most remote-friendly, while positions involving on-site compute infrastructure or hardware-adjacent research more often require in-person presence.
How do you become an ai research engineer?
Most ai research engineers start with a strong foundation in mathematics and computer science, then deepen expertise through graduate coursework or independent study in machine learning. Building hands-on projects, contributing to open-source models, and producing public research artifacts like preprints or reproducible benchmarks are the steps that move a candidate from eligible to competitive in most hiring processes.
How do you get hired as an ai research engineer with little experience?
Candidates with limited industry experience get traction by publishing or posting reproducible work in a specific subfield, such as fine-tuning language models or benchmarking vision systems, rather than trying to appear broadly qualified. Targeting applied research roles at mid-size companies, contributing to well-known open-source projects, and entering through a research internship or contractor position are the most common entry paths.
What does the ai research engineer interview process look like?
Most ai research engineer interview loops include a recruiter screen, a technical coding round covering algorithms and data structures, a machine learning fundamentals discussion, and a research deep-dive where you walk through a paper you know well or a project you built. Some companies add a system design round focused on ML infrastructure and a final panel with research leads who evaluate scientific thinking and communication.
Where can I find and apply to ai research engineer jobs?
You can find and apply to ai research engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and the type of research you want to do, then apply directly to each one that fits.
See All 624+ AI Research Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs