Senior ML Platform Engineer, AD/ADAS
Core
Design, build, and maintain ML Platform systems and tools to enable Perception, Prediction, and Motion Planning model development for Toyota's AD/ADAS stack.
Role type
Senior ML Platform Engineer
Builds
Scalable ML training and evaluation pipelines, tooling, and libraries for deploying models to millions of vehicles
Domain
Autonomous driving (AD/ADAS), Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch/Tensorflow, MLOps, Docker, CI/CD, Linux, distributed training, inference optimization, dataset curation
Preferred skills
Rust/C++, Bazel, Apache Spark, Kubernetes, Terraform, AWS, GPU programming, SIMD/SIMT
Technologies
PyTorch, TensorFlow, Docker, GitHub Actions, Kubernetes, AWS, Bazel, Apache Spark, Ray, Flink
Responsibilities
Design and optimize ML platform systems for model iteration and deployment; Develop user-friendly tooling and libraries for ML engineering; Build and maintain cloud training and evaluation pipelines; Review code and optimize processes to accelerate ML engineering efforts
Seniority
Senior, hands-on IC
