Skild AI
Machine Learning Engineer
San Mateo, Pittsburgh
Sponsorship not specified$100k-$300kDetected 97 days ago
PythonC++Data StructuresAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchRoboticsResearchCollaborationAdaptability
About the role
- We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.
- Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
- This will require close collaboration with our robotics, research, and engineering team.
Responsibilities
- Design and conduct experiments to train RL models and conduct real-world tests.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
Nice to have
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
Compensation
- $100,000 - $300,000 USD
Benefits
- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
Company info
- Company Overview
- At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing.
- Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude.
- We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
- Position Overview
- We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments.
- Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
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This listing is sourced directly from Skild AI's careers page and normalized into a canonical job model.