Staff ML Engineer, Dynamic World Perception

About the Role:

The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.

Responsibilities:

• Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
• Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
• Contribute to improvement of model frameworks, architecture, and data pipelines.
• Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
• Drive highly cross-functional features and workstreams from problem statement to delivery.
• Contribute to the technical direction of the team and broader perception org.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Qualifications: 

• Extensive experience architecting, training, and deploying deep learning models into real-world environments.
• Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
• Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable.
• Strong experience in software engineering and machine learning algorithm design.
• Fluency in Python.
• Experience with C++.