# Machine Learning Engineering Manager, ADAS

**Company**: Wayve
**Location**: Herzliya
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://jobs.ashbyhq.com/wayve/837307c1-e60b-4cf3-864b-0ad2afed470b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_59ee2461-796

## Description

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.

You will be part of our ADAS team, bringing Wayve's end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners.

Your day-to-day will involve:

- Leading a team of around seven ML engineers, with 60% management and 40% hands-on time

- Acting as tech lead across multiple workstreams, setting the vision for how problems get solved

- Reviewing and approving delivery plans for 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

You will be working on:

- 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 for constrained hardware

- Building and scaling a new team during a high-priority growth phase

Requirements:

- Expert background in developing ML, specifically computer vision

- Experience as a people manager and developing engineers

- Hands-on experience with embedded runtime and inference optimisation

- Clear communication and thoughtful collaboration with colleagues

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.

Benefits:

- Salaries benchmarked against the market annually

- Meaningful equity

- Relocation support and visa sponsorship where applicable

- Hybrid working

- Learning and development budgets

- Comprehensive benefits including health insurance, dental, and more

## Skills

### Required
- ML
- computer vision
- embedded runtime
- inference optimisation

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/837307c1-e60b-4cf3-864b-0ad2afed470b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)