Drimva

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

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