Machine Learning Engineer - Robot Manipulation
Location
California
Posted
23 days ago
Salary
Not specified
Job Description
Job Requirements
- Must-have:
- MS or PhD in machine learning, computer science, robotics, or a related field.
- Strong practical experience in training and deploying machine learning models for real-world applications.
- Deep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.
- Proficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).
- Experience with data collection, preprocessing, and management in the context of training ML models.
- Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
- Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.
- Nice-to-have:
- Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
- Experience in:
- Designing and implementing reward functions for complex manipulation tasks.
- Developing models that can handle noisy, incomplete, or sparse data.
- Deployment of ML models to edge devices for real-time inference.
- Accelerating ML training processes using GPU, TPU, or other HW accelerators.
- Using reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.
- General knowledge of robotics principles, including kinematics, dynamics, and control.
- Publications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.
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