Startups · AI

Robotics Engineer: Foundation Model Training

Scaled Foundations · Redmond, WA · On-site

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About Scaled Foundations

General Robotics is building general-purpose intelligence for every robot in any form, across any real-world scenarios. True generalist robots need more than just a foundation model. Backed by Khosla Ventures.

About the role

We're hiring Research Engineers to develop foundation models for GRID. You'll work across model architecture, large-scale training, reinforcement learning, simulation, and evaluation to build robotic behaviors that generalize across tasks, environments, and embodiments. We value exceptional depth in one or more relevant areas; candidates are not expected to have experience across all of them.

What they're looking for

  • Bachelor's degree in Computer Science, Robotics, a related technical field, or equivalent practical experience
  • Research or applied experience in machine learning, robotics, or computer vision
  • Strong Python programming skills and experience with PyTorch
  • Experience developing and evaluating machine-learning models or robotics algorithms
  • Experience with at least one robotics simulation platform
  • Familiarity with inverse kinematics, dynamics, and robotic manipulation
More about this role

We're hiring Research Engineers to develop foundation models for GRID. You'll work across model architecture, large-scale training, reinforcement learning, simulation, and evaluation to build robotic behaviors that generalize across tasks, environments, and embodiments.

We value exceptional depth in one or more relevant areas; candidates are not expected to have experience across all of them.

Formulate research hypotheses and design rigorous experiments informed by deployment needs.

Develop and scale foundation models for robotic perception and action.

Leverage simulation and diverse datasets for pretraining, post-training, reinforcement learning, and evaluation.

Scale existing simulation platforms for data generation and reinforcement learning across heterogeneous scenes and tasks.

Advance generalization beyond demonstrated tasks and robust spatial understanding.

Improve sim-to-real transfer and reliability under real-world deployment constraints.

Develop Auto-Engineering methods for scalable and robust deployment.

Implement, evaluate, and clearly communicate research as reusable, production-quality work.

Bachelor's degree in Computer Science, Robotics, a related technical field,...

Read the full posting on Scaled Foundations's site ↗

Robotics

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