Senior ML Platform Engineer

Woven by Toyota's AD/ADAS team works at the intersection of AI, robotics and advanced driving — analyzing massive multimodal driving data, optimizing computer-vision algorithms, minimizing latency with hardware acceleration, deploying scalable ML and evaluation pipelines, and designing novel neural-network architectures for perception, prediction and planning. As Senior ML Platform Engineer you work closely with ML teams to accelerate and scale ML development, deploying models to millions of Toyota production vehicles. Work: design, build, maintain, optimize and support ML-platform systems and tools so many ML engineers can efficiently curate data, model, train, evaluate and deploy for perception/prediction/planning; build easy-to-use tools, frameworks and libraries (modeling, metrics monitoring, failure-mode analysis); build/maintain cloud training and evaluation pipelines; develop and review code with other ML and platform engineers; and optimize processes/tools/infra and contribute to long-term strategy — working 5 days/week at the Nihonbashi office in an agile, fast-paced environment. Required: a bachelor's (master's/PhD a plus) in ML/CS/robotics or equivalent; 5+ years across data structures, algorithms and software-engineering best practices; 2+ years with UNIX/Linux, Python, PyTorch or TensorFlow; 2+ years across the MLOps cycle (curation, preprocessing, training, evaluation, inference optimization, cloud/edge deployment); Docker and CI (e.g. GitHub Actions); and business-level English. Preferred: ML pipelines (Spark, Airflow, Flyte, Flink, Ray); Rust/C++ and Bazel; SIMD/SIMT, GPU programming, multithreading; Terraform, AWS, observability, Kubernetes; BigQuery/Snowflake/Redshift; deep-learning model optimization for specific hardware; AD/robotics/computer-vision/planning experience; business-level Japanese (welcome). Full-time, based in Chuo-ku, Tokyo.