Robotics RL Engineer — Build Autonomous Learning Systems

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

Job summary

Skildai Careers is seeking a Machine Learning Engineer to design and implement reinforcement learning algorithms. This role involves close collaboration with robotics, research, and engineering teams to enhance the capabilities of intelligent robots.

The ideal candidate will hold a degree in Computer Science or related fields and have a deep understanding of reinforcement learning algorithms. A competitive salary range of $100,000 to $300,000 USD is offered, aiming to attract passionate individuals to contribute to innovative projects.

Qualifications

• Strong background in algorithms, data structures, and software engineering principles.
• 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.
• Collaborate closely with researchers to explore novel methods of scaling up model training.
• Analyze and interpret experimental results, iterating on model design.

Skills

Proficiency in Python

Proficiency in C++

Reinforcement learning algorithms

Deep learning libraries (e.g., PyTorch, TensorFlow)

Education

BS, MS or higher degree in Computer Science, Robotics, Engineering

Tools

Physics simulation engines

Job description

Skildai Careers is seeking a Machine Learning Engineer to design and implement reinforcement learning algorithms. This role involves close collaboration with robotics, research, and engineering teams to enhance the capabilities of intelligent robots.

The ideal candidate will hold a degree in Computer Science or related fields and have a deep understanding of reinforcement learning algorithms. A competitive salary range of $100,000 to $300,000 USD is offered, aiming to attract passionate individuals to contribute to innovative projects.