シニアMLプラットフォームエンジニア・AD/ADAS
Core
Design, build, and maintain ML platforms and tools to enable efficient data curation, modeling, training, evaluation, and deployment for autonomous driving perception, prediction, and planning systems.
Role type
Senior ML Platform Engineer (Autonomous Driving)
Builds
Scalable ML pipelines, evaluation frameworks, and tooling for AD/ADAS models
Domain
Automotive / Autonomous Driving / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, computer science, robotics, data structures, algorithms, software engineering best practices, UNIX/Linux, Python, PyTorch or TensorFlow, MLOps lifecycle, CI/CD systems
Preferred skills
ML pipelines (Apache Spark, Airflow, Flyte, Flink, Ray), system programming (Rust, C++), build systems (Bazel), SIMD/SIMT/GPU programming, multi-threading, Terraform, AWS, Observability, Kubernetes, data warehouses (Google Big Query, Snowflake, AWS Redshift), deep learning model optimization, autonomous driving/robotics/computer vision/path planning
Technologies
Python, PyTorch, TensorFlow, Docker, GitHub Actions, Apache Spark, Airflow, Flyte, Flink, Ray, Rust, C++, Bazel, Terraform, AWS, Kubernetes, Google Big Query, Snowflake, AWS Redshift
Responsibilities
Design and optimize ML platform systems and tools for the AD/ADAS team; Develop user-friendly frameworks and libraries to accelerate ML engineering; Build and maintain cloud-based training and evaluation pipelines; Conduct code reviews and promote improvements; Optimize processes and infrastructure to promote overall ML engineering development; Contribute to long-term strategy
Seniority
Senior, hands-on IC
