Research Engineer, Post-training & Deployment
Skild AI · San Mateo, CA · San Mateo
CHECKED 2H AGO
Roboticsonsite$100k–$300k
At a glance
Highlights
- Improve Skild foundation models and deploy them on robots in the field.
- Turn strong lab performance into dependable customer deployments.
- Build testing pipelines to track model improvements and corner cases.
Ideal candidate
Passionate hands-on engineer eager to take robotics from lab to real world. Thrives bridging research, customers, and field deployments to deliver safe, robust robot behavior.
Requirements
- BS, MS or PhD in Computer Science, Robotics, Engineering or related field
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX
- Deep technical knowledge in computer vision and deep learning for robotics including reinforcement and imitation learning
- Prior experience with large-scale model training
- Prior experience developing and deploying ML models or software on real robots
- Prior experience with ROS/ROS2 or other robotics middleware platforms
Lab profile
About Skild AI
Building general-purpose robotic intelligence that adapts robustly to unseen scenarios.
What they build
- General-purpose robotic intelligence
- Scalable foundation model for robot deployment
Known for
- Large-scale data-driven machine learning
- Robust adaptation to unseen scenarios
- Computer vision and manipulation
- Simulation and embedded systems