Data Scientist - Mapping

High-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems.

In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment.

In this role, you will:

• Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
• Design and build tools for model performance benchmarking and introspection
• Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance.
• Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc

Qualifications:

• BS or MS in Computer Science or related field and 3+ years of experience
• Proficient in Python
• Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data.
• Experience with large-scale, multi-modal datasets, benchmarking and introspection
• Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications

Bonus Qualifications:

• Experience in computer vision, machine learning algorithms,
• Knowledge of geospatial data and coordinate systems
• Ability to write highly complex, optimized SQL queries for massive distributed databases,
• and Databricks experience