Machine Learning Engineer

About this role

Skild AI is seeking a Machine Learning Engineer to develop reinforcement learning algorithms for robotic systems that operate autonomously in real-world environments. You'll design experiments, optimize models, and collaborate across teams to integrate cutting-edge ML solutions into intelligent robots.

What you'll do

• Develop and implement state-of-the-art reinforcement learning algorithms for robotics
• Design and conduct experiments to train and test RL models in real-world settings
• Collaborate with researchers to explore methods for scaling RL model training
• Work with deployment engineers to integrate RL models into robotic systems
• Analyze experimental results and iterate on model design for performance optimization
• Stay current with latest reinforcement learning research and advancements

What they're looking for

• Reinforcement learning algorithms (model-free, model-based, multi-agent)
• Python and/or C++
• Deep learning frameworks (PyTorch, TensorFlow, JAX)
• Algorithms and data structures
• Physics simulation engines
• Machine learning and robotics systems
• Software engineering principles
• Experimental design and analysis

Benefits

• Base salary: $100,000–$300,000 USD
• Work on cutting-edge general-purpose robotic intelligence
• Collaborative team environment with researchers and engineers
• Opportunity to contribute to real-world robotic deployment