Principal Software Lead developing and optimizing AI models at Standard Bots, a robotics startup. Collaborating closely with the engineering team on large-scale AI models and experiments.
Responsibilities
Design and implement state of the art ML models and training pipelines
Apply novel machine learning techniques to a 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
Requirements
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
Experience using the latest techniques in diffusion and autoregressive models in a professional setting
Familiar with training inference and infra pipelines that go from camera input to trajectory output for self-driving or robotics
Experience with RL (reinforcement learning)
Strong understanding of modern ML architectures and training techniques
Experience with model debugging, optimization, and performance tuning
Background in implementing ML research papers and adapting academic work.
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