Deep Learning Manipulation Engineer
Skild AI · Pittsburgh, San Mateo · Pittsburgh · San Francisco
CHECKED 3H AGO
Roboticsonsite$100k–$300k
At a glance
Highlights
- Build general-purpose robotic intelligence that adapts to unseen scenarios.
- Design models that let robots interact intelligently with their environments.
- Advance autonomous robots performing complex tasks in the real world.
Ideal candidate
Passionate explorer eager to tackle uncharted robotics challenges and build adaptable intelligence. Thrives collaborating across research and engineering to bring robust manipulation to the real world.
Requirements
- BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or related field, or equivalent experience
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning
- Experience with distributed deep learning systems
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