Senior Machine Learning Engineer, Static World

About the Role:

The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Senior Engineer, you will contribute to the development, maintenance, and enhancement of algorithms and systems to ensure the required performance of the online map standards are met.

Responsibilities:

• Work in the team to deliver state-of-the-art online and offline perception and generative AI algorithms and systems for L4 self-driving vehicles.
• Write robust software for real-time, resource-constrained, safety-critical applications.
• Drive features and work streams from problem statement to delivery.
• Proactively identify limitations with the existing online mapping system and drive improvements.
• Align internal stakeholders with strong presentation and communication skills.
• Build consensus and execute on team priorities.

Qualifications:

• Experience architecting, training, and deploying deep learning models (transformers or diffusion or flow) 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 in software engineering and machine learning algorithm design.
• Prior experience in sensor fusion and/or online mapping is highly desirable.
• Fluency in Python.
• Experience with C++.

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