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The AI Residency is a fixed-term (3–6 months) position where you will work on high-impact AI and robotics projects alongside full-time team members. You will help build infrastructure for simulation, data management, and learning, and bring research-level ideas into production. This role provides an opportunity to contribute meaningfully to deployed robotic systems while gaining hands-on experience at the intersection of AI and robotics.
Job Responsibility:
Apply cutting-edge research from the AI and robotics community to real-world product applications
Scale solutions using robot fleet data
Build evaluations to benchmark open-source models on relevant tasks
Develop and maintain the “data engine” including front-end UI and back-end systems for log review, data cleaning, and labeling
Deploy new capabilities to robots at customer sites
Requirements:
Bachelor’s degree in Computer Science or equivalent
graduate-level students in ML or robotics preferred
Proficiency with large Python codebases and experience writing tests
Ability to prototype ideas independently and rapidly
Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
Fast learner and independent contributor
Capable of conducting ML research and building scalable infrastructure
Experience with systems programming
Experience training large-scale ML models (e.g., visual foundation models, LLMs, generative models) or publishing in top ML conferences
Nice to have:
graduate-level students in ML or robotics preferred