Staff ML Platform Engineer, AD/ADAS
Core
Design, build, and maintain ML platform systems and tools to enable the development, training, and deployment of perception, prediction, and planning models for Toyota's AD/ADAS stack.
Role type
Staff ML Platform Engineer
Builds
Scalable ML training and evaluation pipelines, dataset generation tools, and frameworks for deploying models to millions of vehicles.
Domain
Autonomous driving (AD/ADAS), Machine Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
MLOps lifecycle management, distributed training, cloud and edge deployment, Python, PyTorch/Tensorflow, UNIX-based systems, Docker, CI/CD, data curation, performance optimization
Preferred skills
Systems programming (Rust/C++), Bazel, SIMD/SIMT parallelism, GPU programming, Terraform, Kubernetes, AWS, Big Query/Snowflake/Redshift, deep learning model optimization
Technologies
PyTorch, TensorFlow, Python, Linux, Docker, GitHub Actions, Apache Spark, Airflow, Ray, Bazel, Terraform, Kubernetes, AWS
Responsibilities
Design and optimize ML platform systems for model iteration and deployment; Develop user-friendly tooling and libraries for ML engineering; Build efficient dataset and cloud training pipelines; Review code and drive engineering best practices; Optimize processes to accelerate ML engineering efforts.
Seniority
Staff, hands-on IC with strategic impact
