We are seeking highly motivated engineers who thrive on solving complex, real-world challenges and driving technical initiatives end to end. In this role, you will serve as a technical lead within a diverse, collaborative team focused on building scalable HD mapping algorithms, systems, and data pipelines.
As a Machine Learning Engineer on the Perception HD Mapping team, you will play a key role in advancing our 3D mapping capabilities. High-definition 3D maps are foundational to achieving fully autonomous driving, enabling safe and reliable navigation at scale. Your leadership will be instrumental as we accelerate the expansion to new cities and significantly increase the speed and frequency of map updates, ensuring our mapping infrastructure scales efficiently with growing operational demands.
In this role, you will...
-
Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
-
Contribute to large-scale, automated mapping pipelines
-
Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions
-
Help to set the vision for the team and build out technical roadmaps
-
Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more
-
Drive the use of metrics and tools to guide development, validate algorithms, and measure progress
Qualifications
-
MS or PhD or equivalent experience (7+ years) in Computer Science or related field
-
Experience in computer vision or robotics
-
Experience with training and deploying deep learning models
-
Proficiency in Python and/or C++
-
Experience leading cross-functional projects
Bonus Qualifications
-
Experience with high definition (HD) maps
-
Experience with 3D computer vision, 3D reconstruction, or SLAM
-
Experience with geospatial data and coordinate systems
