Staff Machine Learning Engineer, AV Core

About the role

The role involves driving the Core Model Safety roadmap themes, owning the full lifecycle from research to offline/online experiments to technology transfer. Responsibilities include training and deploying end-to-end AV 2.0 models on the global fleet, building high-value open-loop and closed-loop evaluations, and maintaining awareness of the wider business context.

Responsibilities

• Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer.
• Train and deploy end-to-end AV 2.0 models on our global fleet, using large-scale, diverse data to validate capabilities and improve generalisation across vehicles, markets, and driving conditions.
• Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning.
• Align priorities and learn from the organisation - with AV Core, Evaluation, and Product Engineering on roadmaps and failure modes; from fleet, simulation, and product feedback; and through mentoring others on the team.
• Maintain awareness of the wider business context - division and company priorities, near-term product programmes, and how Core Model Safety work enables them.

Requirements

Essential: 5+ years in ML engineering, proficient in Python and other relevant languages, hands-on experience with transformer-based and multimodal architectures, hands-on experience training shared representations with multiple tasks or objectives, staff-level technical leadership.

Qualifications

• Staff-level technical leadership: research-literate and pragmatic, setting direction, raising the bar, and leading cross-functional work without formal line management.

Skills

• Experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
• Experience in 3D scene understanding and representation learning for geometric and semantic perception, large-scale semantic enrichments.
• Experience in reward modelling, behaviour modelling, model introspection, and/or interpretability.
• Experience with redundant or fallback architectures, safety-critical systems.
• Experience across foundations/pretraining and applied engineering teams; large-scale training infrastructure and/or agentic workflows.

Benefits

This is a full-time role based in our office in Sunnyvale. Wayve operates a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Pay

The reasonably estimated salary for this role ranges from $336,400 to $370,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

Schedule

The role is full-time and based in Sunnyvale, with a hybrid working policy.