Wayve

Machine Learning Engineering Manager, ADAS

In short

This role leads a team of around seven ML engineers at Wayve's ADAS team, bringing end-to-end AI driving into production-grade advanced driver assistance systems with OEM partners in Herzliya. The company builds AI platforms for autonomous driving, and the split is roughly 60% management, 40% hands-on work taking ML models from proof of concept to production on embedded automotive hardware. It demands expert computer vision ML background, prior people management experience, and hands-on embedded runtime/inference optimisation skills.

About the role
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.
Our ADAS team is bringing Wayve's end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we're now delivering ADAS into production programs, and it's one of Wayve's top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve's upcoming business.
Responsibilities
•Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team
•Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies
•Reviewing and approving delivery plans for the tasks you own
•Partnering with TPMs on planning and execution, and with Product to help shape priorities
•Coaching and developing the ML engineers on your team, supporting their growth as the team scales
•Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme
•Bringing ML models from proof of concept through to production on embedded automotive hardware
•Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one
•Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works
•Working across system boundaries with software, embedded and product teams to deliver a coherent product
Requirements
•Expert background in developing ML, specifically computer vision
•You are/have been a people manager and enjoy developing engineers
•You've worked across systems with software developers and product teams, particularly on embedded software
•You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance
•You communicate clearly and thoughtfully with colleagues across sites and cultures
•You stay steady and keep your team moving when requirements are unclear or change often
Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, you're encouraged to apply even if you don't meet every requirement.
About Wayve
Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre-mapped environments, the AI Driver learns to drive by understanding the world around it. Wayve's mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2+ through to L4 as the core AI model scales.
How we work — Locations & Flexible Working
Main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. Wayve operates a hybrid working model that combines in-person collaboration in dedicated office spaces with focused time working remotely.
The Interview Process
•Initial call / recruiter screen (30 mins)
•Competency Interview (Technical Leadership & System Design; 2 hours)
•Deep Dive (On-site visit in Herzliya; 1 hour)
•Final interview: mission & values alignment (1 hour)
Benefits
•Salaries benchmarked against the market annually
•Meaningful equity, sharing in the ownership and long term success of Wayve
•Relocation support and visa sponsorship where applicable
•Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
•Learning and development budgets with support for training, conferences and growth
•Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more
A quick, honest note: Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

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