Robotics Reinforcement Learning Engineer

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

Job summary

Skild AI in Pittsburgh is seeking a Machine Learning Engineer to design and implement reinforcement learning algorithms for robotic environments and to run experiments that optimize models for real-world deployment.

You will collaborate with robotics, research, and engineering teams to advance autonomous learning and robust deployment, using Python/C++, PyTorch or TensorFlow, and simulation tools.

Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
• Strong background in algorithms, data structures, and software engineering principles.
• Experience with physics simulation engines and tools for training RL.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Extensive industry experience with reinforcement learning and robotic systems.

Responsibilities

• Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
• Design and conduct experiments to train RL models and conduct real-world tests.
• Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
• Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
• Analyze and interpret experimental results, iterating on model design to achieve desired performance.
• Stay up-to-date with the latest research and advancements in reinforcement learning.

Skills

Python

C++

PyTorch

TensorFlow

Reinforcement Learning

Robotics experience

Education

BS, MS or higher in CS/Robotics/Engineering

Tools

Physics simulators

CUDA

Job description

Skild AI in Pittsburgh is seeking a Machine Learning Engineer to design and implement reinforcement learning algorithms for robotic environments and to run experiments that optimize models for real-world deployment.

You will collaborate with robotics, research, and engineering teams to advance autonomous learning and robust deployment, using Python/C++, PyTorch or TensorFlow, and simulation tools.