Meta
AI Research Scientist, Robotics
$154K–$217K
Redmond, WA +1 · Full-time · Posted Aug 20, 2025
- Location
- Redmond, WA
Burlingame, CA - Experience
- 2+ years of industry experience in relevant robotics-related research areas.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; currently has or is in the process of obtaining a PhD in Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience.
About the job
Conducts research and develops algorithms, systems, and prototypes for embodied AI and robotics, from simulation to real-world robots.
What you'll do
- Conduct fundamental and applied research on embodied AI and robotics.
- Invent data-driven robotics methods using multiple modalities and develop machine-learning algorithms and AI functionalities.
- Plan and execute research toward long-term product goals, including benchmarking and setting milestones.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; currently has or is pursuing a PhD in a listed related field or equivalent practical experience.
- 2+ years of industry experience in relevant robotics research areas.
- Experience with robotics research, robot simulation and real-world hardware, and machine-learning or deep-learning systems.
- Experience with Python and deep-learning frameworks such as PyTorch or Tensorflow.
Nice to have
- Research results demonstrated through grants, fellowships, patents, or publications at leading workshops, journals, or conferences.
- Software engineering or research experience through an internship, employment, coding competitions, or widely used open-source contributions.
Pay
$154,000/year to $217,000/year + bonus + equity (base salary)
Tools
PyTorch, Tensorflow, Python, GitHub
AI focus
Research and develop embodied AI and robotics, including multimodal data-driven methods, machine-learning algorithms, simulated and real-robot behaviors, and next-generation AI functionality.
Model-written summary · the original posting is authoritative