Machine Learning Engineer, Application Software

Job summary

Responsibilities

As a Machine Learning Engineer, you’ll lead critical initiatives to design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span model architecture, data pipelines, evaluation frameworks and real-world deployment.

• Develop and improve end-to-end driving models, advancing their performance, robustness and generalisation.
• Lead technical initiatives in personalised and collaborative driving, including behaviour conditioning, comfort tuning and alignment with user preferences.
• Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to improve scenario diversity, coverage and feature-specific development.
• Collaborate across engineering teams to integrate models, accelerate iteration and support real-world deployment.

What they're looking for

• Experience in autonomous driving, imitation learning or trajectory prediction.
• Familiarity with personalisation, human behaviour modelling or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.

Tech stack

• Python
• C++
• CUDA
• PyTorch