Skild AI
Machine Learning Engineer
$100K–$300K
San Mateo, Pittsburgh +2 · Full-time · Posted Sep 11, 2025
- Location
- San Mateo, Pittsburgh
Pittsburgh
San Francisco - Education
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
About the job
Designs, trains, tests, and optimizes reinforcement learning models for robotic applications, collaborating with research and engineering teams to integrate them into deployable systems.
What you'll do
- Develop RL algorithms and run training experiments and real-world tests for robotic applications.
- Collaborate on scaling RL training and integrating models into robotic systems for robust deployment.
- Analyze experiment results, improve model performance, and keep up with RL research.
What they ask for
- Proficiency in Python, C++, or similar, and at least one deep learning library such as PyTorch, TensorFlow, or JAX.
- Practical experience and deep understanding of reinforcement learning algorithms and techniques.
- Strong background in algorithms, data structures, and software engineering principles.
Nice to have
- Experience with physics simulation engines and tools for training RL.
- Extensive industry experience with reinforcement learning and robotic systems.
Pay
$100,000 — $300,000 USD (base salary)
Tools
Python, C++, PyTorch, TensorFlow, JAX
AI focus
Develops and applies reinforcement learning to train adaptable robots for complex tasks and robust real-world deployment.
Model-written summary · the original posting is authoritative