Skild AI
Machine Learning Engineer, Reinforcement Learning
$100K–$300K
Pittsburgh, San Mateo +2 · Full-time · Posted Sep 11, 2024
- Location
- Pittsburgh, San Mateo
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 integrates reinforcement learning models for robotic systems, with a focus on robust real-world performance.
What you'll do
- Develop and implement reinforcement learning algorithms for robotics; design training experiments and real-world tests.
- Collaborate with researchers to scale RL training and with engineering teams to integrate and deploy models.
- Analyze experimental results, improve model designs, and follow advances in reinforcement learning.
What they ask for
- Proficiency in Python, C++, or similar, and at least one deep learning library such as PyTorch, TensorFlow, or JAX.
- Deep understanding and practical experience with reinforcement learning algorithms and techniques.
- Strong background in algorithms, data structures, and software engineering principles.
- Deep understanding of state-of-the-art machine learning techniques and models.
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
Develop and scale reinforcement learning for robots, train and evaluate models in simulation and real-world tests, and integrate models for robust deployment.
Model-written summary · the original posting is authoritative