Responsibilities

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field. 

Required Skills

• BS, MS, or PhD in Software, Robotics, or related field
• 4+ years of machine learning engineering experience for robotics applications
• Experience developing high-quality software from design and implementation to testing and deployment.
• Expertise with Python, willingness to do some C++ development as needed.
• Experience training with modern frameworks (e.g. PyTorch)
• A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
• Hands-on familiarity with cloud data ingestion pipelines
• Strong communication and collaborative skills

Salary Range

• $130,000 - $220,000 a year