Meta
AI Research Scientist, Robotics
$219K–$301K
Redmond, WA +1 · Full-time · Posted Nov 24, 2025
- Location
- Redmond, WA
Burlingame, CA - Experience
- 5+ years of industry experience in relevant robotics-related research areas; also lists 7+ years in relevant robotics-related research areas.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; PhD in Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience.
About the job
Conduct research and develop algorithms, systems, and prototypes for embodied AI and robotics, from simulated agents to real-world robots.
What you'll do
- Research embodied AI and develop data-driven paradigms using multiple modalities.
- Build and benchmark machine-learning functionality for robotics and embodied behaviors.
- Plan and lead research toward long-term organizational and product goals.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- PhD in Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience.
- 5+ years of industry experience in relevant robotics-related research areas; the posting also lists 7+ years for relevant robotics-related research areas.
- Experience with a listed research area, machine-learning systems, deep-learning frameworks and Python, robot simulations and real-world hardware, and complex large-scale data.
Nice to have
- Proven record of significant research results, such as grants, fellowships, patents, or publications at leading venues.
- Research and software engineering experience through an internship, work experience, coding competitions, or open-source contributions.
Pay
USD $219,000/year to $301,000/year base salary; bonus and equity also stated, amounts unspecified.
Tools
PyTorch, Tensorflow, Python
AI focus
Fundamental and applied research in embodied AI and robotics, including multimodal data-driven methods, machine learning and neural networks, and embodied behaviors spanning simulated characters and real robots.
Model-written summary · the original posting is authoritative