🛠 Tech Stack

💼 About This Role

You'll build scalable ML training and deployment infrastructure for Toyota's autonomous driving team. You'll improve the reliability and efficiency of production ML workflows. This internship offers close collaboration with senior engineers on core platform components.

🎯 What You'll Do

• Own and drive well-defined ML platform projects
• Analyze performance bottlenecks in production ML workflows
• Design and integrate MLOps tools for developer productivity
• Develop robust integration tests for platform stability

📋 Requirements

• Pursuing BSc/MSc/PhD in Computer Science or related field
• Expert proficiency in Python and PyTorch
• Experience with Docker and Kubernetes
• Experience building scalable ML workflows with Airflow/Flyte

✨ Nice to Have

• Experience with distributed training frameworks
• Knowledge of cloud infrastructure (AWS, GCP, Azure)
• Background in autonomous driving or robotics