Machine Learning Research Intern (Reinforcement/Imitation Learning)
Benefits:
competitive salaries
equity stakes
health coverage
paid time off
cutting-edge work facilities
Education Requirements:
Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field
Experience Requirements:
Experience implementing RL and IL methods focused on computer vision or robotics
Hands-on experience integrating ML models onto a robotics platform
Experience implementing and deploying robotic manipulation tasks
Experience taking ML R&D into production
Experience with computer vision systems
Other Requirements:
Development with Python 3.6 or later
Working knowledge of PyTorch and/or JAX
Familiarity with ROS2
Responsibilities:
Design, implement, and improve RL and IL algorithms
Keep up to date with state-of-the-art RL/IL methodologies
Identify, communicate, and drive promising research directions
Improve existing implementations regarding sample efficiency and scalability
Design RL/IL training and data-collection pipelines
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