Drimva

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

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)