Senior ML Engineer – Autonomous Driving (Mapless, AI-First)

About

A well-funded European deep-tech company is building fully AI-driven, mapless autonomous driving technology in collaboration with leading OEMs and Tier 1 suppliers.

We are hiring experienced ML engineers who want to move beyond incremental ADAS and work on large-scale, AI-native autonomy systems deployed directly on vehicles.

What You’ll Work On

• Learning-based scene understanding from raw multimodal sensor data
• Online road topology & lane connectivity extraction
• Multimodal transformers / graph neural networks for dynamic traffic modeling
• End-to-end perception prediction
• planning architectures
• Ensuring geometric & temporal consistency in real-world driving
• Deployment of production-grade ML models to embedded vehicle systems

This is not simulation-only research. Models are trained at scale and validated directly on real vehicles.

What We’re Looking For

• Strong ML fundamentals (deep learning, transformers, large-scale training)
• Solid Python skills; C for production integration
• Experience in one or more of:
  • Autonomous driving
  • Robotics
  • 3D computer vision
  • Multimodal learning
  • Sensor fusion
  • Learning-based planning

PhD is welcome but not required. Real-world deployment experience is highly valued.

Why Join?

• Flat technical structure with real ownership
• Strong compute infrastructure
• Close collaboration with major automotive partners
• Equity / stock options
• Opportunity to shape next-generation autonomy from the ground up