Senior AI Research Engineer

• Design and implement state of the art ML models and training pipelines:
• Apply novel machine learning techniques to wide range of 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 of new model architectures
• Performance optimization and model debugging
• Transfer learning and fine-tuning strategies
• Build robust evaluation and debugging systems to:
• Analyze model behavior and failure modes
• Implement interpretability tools and visualization frameworks
• Track and improve model metrics
• Collaborate with engineering team to optimize training infrastructure and deployment
• YOU MIGHT THRIVE IN THIS ROLE IF YOU:
• Have 5+ years of AI modeling experience, specifically within the self-driving car industry (or PhD with 3+ years of AI modeling experience in the self-driving car industry)
• Proven track record developing and deploying large-scale ML models
• Have experience using the latest techniques in diffusion and autoregressive models in a professional setting
• Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics
• Have experience with RL (reinforcement learning)
• Have a strong understanding of modern ML architectures and training techniques
• Have experience with model debugging, optimization, and performance tuning
• Have a background in implementing ML research papers and adapting academic work
• PyTorch (experience with PyTorch required)
• NodeJS/Typescript

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