Machine Learning Internship at Sanctuary AI

Sanctuary AI invites you to apply for its Machine Learning Research Internship in Vancouver. Focused on Reinforcement and Imitation Learning, this on-site role is ideal for driven graduate students.
Join this innovative ML team and tackle challenging projects that encompass perception, planning, and motion systems for robots. You will report to the RL Lead and work collaboratively to enhance robotic capabilities while gaining valuable hands-on experience in this fast-evolving field. Your work will play a critical role in the integration of sophisticated machine learning techniques into real-world robotic applications.

Key Responsibilities:

• Implement and optimize RL and IL algorithms

• Research and analyze robotics methodologies

• Propose and direct innovative research paths

• Refine RL/IL operations and improve scalability

• Create pipelines for training robotic systems
Requirements:

• Enrolled in an MS or Ph.D. in a relevant discipline

• Practical experience with RL/IL algorithms

• Experience in robotic platform integration

• Knowledge of ROS2 and Python programming

• Familiarity with computer vision and simulation techniques
Join Sanctuary AI to explore the future of robotics and expand your machine learning skills.
#J-18808-Ljbffr