Skild AI
Deep Learning Manipulation Engineer
$100K–$300K
Pittsburgh, San Mateo +2 · Full-time · Posted Nov 13, 2024
- Location
- Pittsburgh, San Mateo
Pittsburgh
San Francisco - Education
- BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
About the job
Develop, optimize, and deploy deep learning models that enable robots to perform manipulation tasks autonomously and adapt to their environments.
What you'll do
- Design, implement, and optimize deep learning models for robotic manipulation.
- Model manipulation processes for analysis, simulation, planning, and controls.
- Collaborate with cross-functional teams to develop and integrate scalable manipulation solutions into robotic systems.
What they ask for
- Proficiency in Python and at least one deep learning library, such as PyTorch, TensorFlow, or JAX.
- Proficiency with advanced deep learning techniques and architectures, as well as reinforcement learning and/or imitation learning.
Nice to have
- Experience with distributed deep learning systems.
Pay
$100,000 — $300,000 USD (base salary)
Tools
Python, PyTorch, TensorFlow, JAX
AI focus
Develop and deploy deep learning models for robotic manipulation, including reinforcement learning and/or imitation learning techniques.
Model-written summary · the original posting is authoritative