Key skills
End-to-end ML modelsMachine Learning frameworks3D traffic scene understandingPython programmingC++ programmingComputer VisionRoboticsResearch skillsCollaboration skillsPythonC++CAIMachine LearningMLPyTorchTensorFlow
About this role
Vay is pioneering the future of transportation with their Remote Driving technology. As a Principal AI Engineer, you will develop and deploy AI models for autonomous driving, contributing to safer roads and transformative mobility solutions.
Responsibilities:
- Research and develop state of the art foundation models for real-world autonomous driving
- Design and build end-to-end AI pipelines and data flywheels that continuously improve model performance
- Apply machine learning to 3D traffic scene understanding and multimodal sensor data
- Define and implement robust evaluation methods for real world driving conditions
- Optimizing models for efficient and scalable deployment on production hardware
- Collaborate closely with autonomy, data, and systems teams to bring models into production
Requirements:
- You are a Principal level engineer who enjoys owning complex AI systems end to end, from research through to production deployment, who wants to see their work operating in the real world
- You have considerable previous experience building and deploying end-to-end ML models in autonomous driving, robotics, or a closely related domain
- You hold a MSc/PhD in Computer Science, Computer Vision, Robotics or a closely related field
- Hands-on experience in applying Machine Learning to 3D traffic scene understanding
- Proficiency in Machine Learning frameworks like PyTorch or Tensorflow
- Strong experience programming with Python (C++ is nice to have)
- You enjoy bridging research quality work with production readiness and performance constraints