Senior Machine Learning Software Engineer

Woven by Toyota

Data Eng

Tech Lead

Python

About this role

This senior engineering role sits on the Behavior team, which builds data foundations for data-driven autonomous driving. The team works with petabyte-scale multimodal vehicle and simulation data and supports ML-based motion planning across on-board and off-board environments.

The work covers end-to-end data architecture, ingestion, transformation, delivery, visualization, and self-service tools. You will model raw vehicle and simulation logs into normalized datasets, define data products and SLAs, establish monitoring and alerting, and guide technical decisions across teams. The role also includes rapid prototyping, architecture documentation, and mentoring engineers. Named technologies include SQL, Python, BigQuery, Snowflake, Redshift, dbt, Airflow, Spark, Ray, Parquet, and Apache Iceberg.

Applicants need at least seven years of experience building and operating production data pipelines and platforms at scale. The posting also requires strong SQL and modern programming-language skills, experience designing ETL/ELT jobs and data models, ownership of large-system data architecture, and a record of cross-team technical leadership and consensus building.

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