6 months ago
Base Salary
$100k - $300k/yr
Responsibilities
- Design, implement, and optimize deep learning models for robotic manipulation.
- Model robotic manipulation processes for analysis, simulation, planning, and controls.
- Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for robotic deployment.
- Integrate deep learning models into robotic platforms with inference, deployment, and application teams.
Requirements
- A BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, or JAX.
- Proficiency with advanced deep learning techniques and architectures, reinforcement learning, and/or imitation learning.
- Experience with distributed deep learning systems.
Categories
ML EngineeringRobotics
About Skild AI
Skild AI builds a general-purpose robotic intelligence and software stack to train and deploy robots that adapt to varied, unseen tasks for commercial use. It offers a platform and models for robot manufacturers and enterprises automating physical work, with support for integration across manipulators and mobile systems. Founded in 2023 and headquartered in Pittsburgh, the privately held company raised a Series C in 2026.