Machine Learning Engineer, Application Software

Highlights

• Develop end-to-end driving models that move real vehicles safely at scale.
• Lead personalised and collaborative driving with behaviour conditioning.
• Build closed-loop and open-loop evaluation pipelines for product readiness.

Ideal candidate

Experienced ML builder who has shipped real-world systems and thrives leading cross-team initiatives. Passionate about autonomy, personalisation and shaping production-scale learning for safe driving.

Requirements

• Extensive proven track record of shipping deep learning systems to production
• Expert in deep learning, especially sequential models, control, planning, or perception
• Proficient in Python, C++ and CUDA and ML frameworks especially PyTorch
• Experience with real-time systems or robotics with simulation or vehicle-in-the-loop
• Ability to lead technical initiatives across teams and mentor engineers
• Prior work in autonomous driving, imitation learning, or trajectory prediction
• Familiarity with personalization, human behavior modeling, or driver intent inference
• Experience integrating ML systems into production hardware or multi-agent simulation