Data Scientist (Mapping)

Join Zoox, a cutting-edge autonomous vehicle company, as a Data Scientist specializing in mapping. In this role, you will collaborate with a diverse team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact the efficiency of mapping new cities and updating existing maps, playing a critical role in accelerating our autonomous vehicle deployment. You will also have access to a range of benefits, including paid parental leave, health insurance, and a comprehensive wellbeing program.

• Collaborate with cross-functional teams to design and develop large-scale HD mapping algorithms, workflows, and data pipelines.
• Design and build high-quality, large-scale mapping datasets and data pipelines for training and evaluating machine learning models.
• 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.
• We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems
• BS or MS in Computer Science or related field and 3+ years of experience
• 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
• Proficient in Python
• Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications
• Experience with large-scale, multi-modal datasets, benchmarking and introspection
• And Databricks experience
• Ability to write highly complex, optimized SQL queries for massive distributed databases,
• Knowledge of geospatial data and coordinate systems
• Experience in computer vision, machine learning algorithms,
• You do not need to match every listed expectation to apply for this position