Deep Learning Manipulation Engineer
Hybrid (Pittsburgh, San Mateo)$100k - $300kfull-timePosted 3mo ago
About the role
Develop and refine deep learning models for robotic manipulation to enable autonomous, robust, and adaptable robotic systems. Collaborate with ML, robotics, and research teams to design, train, and deploy capable models for real-world robotic manipulation tasks.
Responsibilities
- Design, implement, and optimize deep learning models for robotic manipulation.
- Model robotic manipulation processes to enable analysis, simulation, planning, and controls
- Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
- Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.
Qualifications
- 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, 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.
Last updated Jul 5, 2026. Interested? Apply on the company site.
About Skild AI
Bringing AI into the physical world
Building general purpose robotic intelligence
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