onsite
Data Scientist - Mapping - Zoox
Data Scientist
Data Scientist focused on high‑definition mapping, building large‑scale datasets and algorithms using Python, C++, machine learning, computer vision, and GIS to enable autonomous vehicle deployment.
About the role
Key Responsibilities
- Design and construct high‑quality, large‑scale HD mapping datasets for autonomous driving.
- Develop and optimize mapping algorithms, including perception, localization, and SLAM pipelines.
- Build robust data processing workflows and pipelines to ingest, clean, and annotate sensor data at scale.
- Collaborate with cross‑functional teams—software engineers, robotics researchers, and product managers—to integrate mapping solutions into the vehicle stack.
- Continuously evaluate and improve map accuracy, coverage, and update frequency using machine‑learning and computer‑vision techniques.
Requirements
- Strong programming skills in Python and C++ with experience building production‑grade data pipelines.
- Solid background in machine learning, computer vision, and GIS concepts applied to mapping or robotics.
- Experience processing large sensor datasets (LiDAR, camera, radar) and creating labeled training data.
- Proven ability to work in fast‑paced, cross‑functional environments and deliver scalable solutions.
- Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
Skills
pythoncmachine learningcomputer vision