Deep Learning Manipulation Engineer
Core
Design, train, and deploy deep learning models to enable robots to interact intelligently, adapt to environments, and perform complex tasks autonomously.
Role type
Deep Learning Engineer (Robotic Manipulation)
Builds
Robotic manipulation algorithms for simulation, planning, and control
Domain
Robotics and Deep Learning
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow/JAX, deep learning architectures, reinforcement learning, imitation learning, distributed deep learning systems
Preferred skills
BS/MS in CS/Robotics/Mechanical Engineering
Technologies
Python, PyTorch, TensorFlow, JAX
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 manipulation solutions; Integrate deep learning models into robotic platforms
Seniority
Individual Contributor
