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Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Support FP&A by building and maintaining budgets, forecasts, and complex financial models; deliver ad-hoc analysis and actionable insights; partner cross-functionally and present findings to senior leadership while maintaining financial systems and reports.

The Infrastructure Intern will work on developing data pipelines, tooling, and platforms for data management, focusing on automation and high-reliability systems.

The Engineer will enhance developer productivity by creating and maintaining tools for the software development lifecycle, collaborating with teams to improve workflows, and ensuring efficient development processes.

The intern will conduct research on machine learning and driving behaviors, work with driving datasets, collaborate on deploying results, and publish findings.

The Perception Intern will assist in creating and evaluating perception systems for autonomous vehicles, utilizing multi-modal sensor data and machine learning techniques.

Provide executive support to C-level executives while managing People initiatives, including scheduling, travel arrangements, and project documentation.