Senior Machine Learning Engineering Manager (ADAS)

wayve • Israel

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AI Summary

Lead a team of ML engineers to transition Wayve’s end-to-end AI driving platform into production-grade ADAS for OEM partners, optimizing models for embedded automotive hardware and scaling team operations during high-priority growth.

Key Highlights

Lead a team of ~7 ML engineers, balancing 60% management and 40% hands-on technical work

Tech lead for ADAS integration into production programs, setting vision and prioritizing workstreams

Optimize ML models for runtime and inference on constrained automotive hardware

Key Responsibilities

Lead a team of ML engineers (~7 people) in developing and scaling ADAS solutions for OEM production programs

Set technical vision, prioritize workstreams, and approve delivery plans for ML model integration into embedded automotive hardware

Optimize ML models for runtime efficiency and inference on constrained hardware, ensuring performance without defaulting to oversized models

Collaborate with TPMs and Product teams to align priorities and shape ADAS roadmaps

Coach and develop ML engineers, fostering growth as the team scales during a high-priority phase

Work across system boundaries with software, embedded, and product teams to deliver cohesive ADAS solutions

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Technical Skills Required

Machine Learning Computer Vision Embedded Software

Benefits & Perks

Market-benchmarked annual salaries

Meaningful equity with long-term ownership

Relocation support and visa sponsorship where applicable

Hybrid working with core hours and access to vehicle workshops/labs

Comprehensive benefits including health insurance, dental, parental leave, retirement, and wellbeing support

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Nice to Have

Experience with embedded runtime and inference optimization

Pragmatic trade-off experience between model size and performance

Cross-system collaboration with software developers and product teams

Experience managing teams in hybrid or distributed environments

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.

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