Skild AI · 2 hours ago
Machine Learning Engineer, Reinforcement Learning
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
$100K/yr - $300K/yrSkild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Machine Learning Engineer responsible for designing and implementing reinforcement learning algorithms to optimize robotic performance in real-world environments.
Computer Software
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
Qualification
Required
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
Preferred
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
Company
Skild AI
Building general purpose robotic intelligence.
Founded in 2023
11-50 employees
H1B Sponsorship
Skild AI has a track record of offering H1B sponsorships. Please note that this does not
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (14)
2024 (2)
Funding
Current Stage
Early StageRecent News
2025-10-03
2025-09-27
2025-09-26
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