Machine Learning Engineer, Driving Product (Autonomous Driving)

Location: Hybrid, full-time role based in the office in Israel; locations listed include London, United Kingdom and Herzliya, Israel

Company

hirify.global develops AI-powered autonomous driving technology for commercial vehicle applications.

What you will do

• Develop AI driver model architectures and training algorithms for Level 2, Level 3, and Level 4 safety behaviours.
• Own key parts of the model training lifecycle, including evaluation strategy, success metrics, and iteration planning.
• Mine, categorise, and curate real-world and synthetic data for specific driving behaviours.
• Implement data schemes that support model training and behaviour development.
• Run and analyse offline and on-road experiments, translating results into improvements through repeated training cycles.
• Ship ML models into vehicles and support high-priority commercial deliveries, including the Nissan MVP.

Requirements

• Senior or Staff-level experience training deep learning models with end-to-end ownership of data, training, evaluation, and iteration.
• Proven experience taking ML models into production under real-world quality and safety constraints.
• Experience working with model evaluation, experimentation, and iterative training processes.
• Ability to work in a hybrid arrangement from the Israel office.

Nice to have

• Reinforcement learning experience that materially improved real-world performance.
• Experience with end-to-end driving models or transformer networks.
• Automotive, OEM, or safety-critical ML deployment experience.
• Experience with PyTorch Lightning training infrastructure.

Culture & Benefits

• Hybrid work combining time in offices and workshops with time working from home.
• Small, high-ownership teams operating during a period of rapid growth.
• Close collaboration focused on innovation, learning, culture, and real-world product outcomes.
• Fast model deployment timelines measured in months.