Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist jobs are open across technology, healthcare, finance, defense, and research institutions, from junior researcher to principal scientist and research director, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
Find JobsLooking for remote work? View remote artificial intelligence scientist jobs →Student or new grad? View artificial intelligence scientist internships →Overview
Showing 5 of 619+ Artificial Intelligence Scientist 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.
Artificial Intelligence Scientist Jobs by Experience Level
Top Cities Hiring Artificial Intelligence Scientists
Explore artificial intelligence scientist openings in the cities hiring most right now.
See All 619+ Artificial Intelligence Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsArtificial Intelligence Scientist Job Market
Who's Hiring
- Amazon26
- Intuit23
- Google19
- ByteDance18
- TikTok15
Top Industries Hiring
- Technology & Software64
- Education14
- Science & Research12
- Banking & Financial Services10
- Biotechnology & Pharmaceuticals10
What Employers Look For
The qualifications that appear most often in artificial intelligence scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Deep expertise in PyTorch or TensorFlow for designing and training large-scale models
- Experience publishing research at peer-reviewed venues such as NeurIPS, ICML, or CVPR
- Strong Python programming skills with proficiency in scientific computing libraries
- Hands-on experience with large language models, diffusion models, or reinforcement learning
- Ability to translate research findings into production-ready systems or product features
Tips for Your Artificial Intelligence Scientist Job Search
Tailor your resume to research output
Hiring managers for artificial intelligence scientist roles weigh publications, patents, and model benchmarks heavily. List each paper's venue and any citations it has received. If you have open-source contributions, include repository stars or adoption metrics to show real-world impact.
Showcase reproducible, documented experiments
Attach a public GitHub or equivalent repository to every project you list. Artificial intelligence scientist roles require you to demonstrate not just that something worked, but that your methodology is rigorous and others can verify it. Undocumented experiments rarely move hiring committees forward.
Apply early to roles that fit
Migrate Mate lists artificial intelligence scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by research focus area
Job titles overlap heavily in this field. Read the responsibilities section carefully to distinguish applied research from foundational work. A role titled the same can mean building production pipelines at one company and publishing novel architectures at another. Target postings that match your actual research depth.
Prepare a research presentation, not just answers
Most artificial intelligence scientist interviews include a technical talk on your own work. Practice delivering a 20-minute version that explains your problem framing, experimental design, and failure modes clearly to a mixed audience of researchers and engineers. Panels will probe your assumptions.
Negotiate scope and compute access, not just pay
When you reach the offer stage, ask specifically about GPU and cloud compute budgets, publication rights, and access to proprietary datasets. These factors directly determine what research you can pursue and carry more long-term weight than many other offer terms.
Artificial Intelligence Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most artificial intelligence scientists?
The companies hiring the most artificial intelligence scientists right now include Amazon, Intuit, 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 technology and defense but continues to grow in healthcare and financial services.
How many artificial intelligence scientist jobs are remote?
About 52% of artificial intelligence scientist openings are fully remote or hybrid as of September 2026, making it one of the more flexible roles in the technology sector. Research-heavy positions at universities and national labs tend to require on-site presence, while applied roles at software companies are more likely to support remote arrangements.
How do you become an artificial intelligence scientist?
You typically start by completing a bachelor's degree in computer science, mathematics, or a related field, then pursue a master's or PhD with a research focus in machine learning or a related subfield. Building a record of published or publicly documented work strengthens your candidacy substantially. Internships at research labs during graduate school are among the most direct paths into full-time roles.
Can you get an artificial intelligence scientist job with little experience?
Yes, though it requires demonstrating research potential through other signals when formal experience is limited. Strong thesis work, open-source model contributions, or a competitive placement in an established research program can substitute for years of industry experience in entry-level and junior roles. Some teams also hire research engineers as a stepping stone into full scientist positions.
What does the artificial intelligence scientist interview process look like?
The process typically moves through an initial recruiter screen, a technical phone or video interview focused on machine learning fundamentals, a research presentation where you walk through a project in depth, and a full-day on-site or virtual loop with a mix of research scientists and engineers. Final rounds often include a system design component and a conversation with a research director or hiring committee.
Where can I find and apply to artificial intelligence scientist jobs?
You can find and apply to artificial intelligence scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your research background and specialization, then apply directly to each one that fits.
See All 619+ Artificial Intelligence Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs