AI Research Engineer
Core
Develop and optimize AI models and training systems for robotic automation, applying deep ML expertise to solve customer problems in physical spaces.
Role type
Senior AI Research Engineer (Robotics/ML)
Builds
Large-scale AI models, training pipelines, and efficient experimentation systems for robotics applications.
Domain
Robotics, Autonomous Vehicles, Machine Learning
Deliverable
production ML models
Required skills
ML planning, diffusion models, autoregressive models, reinforcement learning, model debugging, performance optimization, transfer learning, fine-tuning, research paper implementation
Preferred skills
Experience with training/inference infra pipelines (camera input to trajectory output), RL, modern ML architectures
Technologies
PyTorch, Python, NodeJS/Typescript, Docker
Responsibilities
Design and implement state-of-the-art ML models and training pipelines; Apply novel ML techniques to robotics applications; Develop efficient data and training strategies; Implement model evaluation frameworks and metrics tracking; Lead model development and iteration with focus on rapid experimentation and prototyping; Build robust evaluation and debugging systems to analyze model behavior and failure modes; Collaborate with engineering team to optimize training infrastructure and deployment
Seniority
Senior, hands-on IC