Robotics Deep Learning Engineer - Manipulation & Autonomy

Skild; Pittsburgh, San Mateo (Allegheny County, CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Skild AI in Pittsburgh is seeking a Deep Learning Engineer to design, train, and deploy models for robotic manipulation, enabling robots to interact intelligently and adapt to real-world environments.

You will work closely with our machine learning, robotics, and research teams to ensure these models are robust, efficient, and ready for deployment in robotic systems. Strong Python and DL library skills are essential, with experience in distributed DL systems.

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.

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.

Skills

Python

PyTorch

TensorFlow

JAX

Reinforcement learning

Imitation learning

Distributed DL systems

Education

BS/MS in CS/Robotics/Mech Eng or related

Job description

Skild AI in Pittsburgh is seeking a Deep Learning Engineer to design, train, and deploy models for robotic manipulation, enabling robots to interact intelligently and adapt to real-world environments.

You will work closely with our machine learning, robotics, and research teams to ensure these models are robust, efficient, and ready for deployment in robotic systems. Strong Python and DL library skills are essential, with experience in distributed DL systems.