Skild AI
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
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Skild AI
Skild AI builds software and systems for general-purpose robotic intelligence, including simulation environments for training, manipulation controllers, perception stacks, and foundation model integration. The company is hiring simulation engineers, robotics engineers, controls specialists, computer vision researchers, and application engineers to develop and deploy production-ready autonomous robot systems.
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