Senior Machine Learning Engineer, Models and Validation
- Build learned models used to develop and evaluate the Motion Planner in large scale simulations on complex scenarios.
- Build novel generative models to augment our simulation data and create unseen realistic and plausible scenarios for training and evaluating the Motion Planner and other sub-systems.
- Support the various parts of the ML model development workflow, including dataset management, label quality, feature processing pipelines, model training and evaluation infrastructure.
- Work closely with Behavior Planning and Safety Engineering teams to understand their requirements and inform our technical approach.
- Work with the Behavior Simulation and Perception Simulation teams to add any necessary core functionality required to deploy our models.
- Develop tools to visualize, introspect and extract insights from running our models.
- Support your team with code reviews and ideas as part of a collaborative environment.
- Motivated and can work independently in a fast paced environment, navigating problem ambiguity.
- Strong knowledge of ML fundamentals.
- ML model building experience (data preparation, training, model design, evaluation)
- Robotics-related domain knowledge.
- Strong knowledge of PyTorch, Python, numpy and common data science libraries.
- 2+ years of industry experience in a related field.
- Experience with Motion Planner development.
- Experience deploying ML models in production environments.
- Project work, or publications in top-tier conferences or workshops.
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