---
title: 'Machine Learning Engineer, Driving Product at Wayve'
canonical: 'https://feeny.ai/job/machine-learning-engineer-driving-product-wayve-israel-london-united-kingdom-3wkwctyn2f4r'
type: 'job'
last_seen: '2026-09-16'
---

# Machine Learning Engineer, Driving Product at Wayve

- **Company:** Wayve
- **Location:** Israel / London, United Kingdom / Mountain View, CA
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-09-16
- **Apply:** https://wayve.firststage.co/jobs?gh_jid=8785371002

## Job description

## About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

We are hiring Senior and Staff ML Engineers that sit within Driving Product organisation, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.

## Key responsibilities

- Develop the AI driver model architecture and training algorithms to introduce and enhance the driving behaviors for L2/L3/L4
- Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
- Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
- Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

## About you

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.

Essential

- Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
- Experience taking ML models into production, including working through real-world constraints and quality and safety requirements

Desirable

- Reinforcement learning experience (especially where it materially improved real-world performance).
- Experience with end-to-end driving models and / or transformer networks
- Automotive or OEM experience, or prior work that involved deploying ML into physical systems.
- Experience with a Pytorch lightning training infrastructure
- Experience with model compression and deployments to embedded systems

This is a full-time role based in our office in Sunnyvale, London or Israel. At Wayve we want the best of all worlds so we operate 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

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit [Careers at Wayve.](https://wayve.ai/careers/)

To learn more about what drives us, visit [Values at Wayve](https://wayve.ai/careers/)

For US candidates only, please visit [E-Verify Notice](https://drive.google.com/file/d/1N46n3iN0AG8EPEO-hCanyyv7hzz8KgT_/view?usp=sharing) and [Participation and Right to Work](https://www.ussc.gov/sites/default/files/pdf/employment/RightToWork.pdf)

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

## About Wayve

## Company Overview
- **One-liner**: Wayve is building a general-purpose, embodied AI driving intelligence that learns from data and scales across vehicles, geographies, and applications.
- **Entity Type**: Private (Series C)
- **Headquarters**: London, United Kingdom
- **Founded**: 2017
- **Founders**: Alex Kendall (Co-founder & CEO)

## Core Business
- **Primary industry**: Autonomous Vehicle Technology / Embodied AI
- **Target customers**: B2B — Automakers (OEMs), logistics partners, and mobility networks (e.g., Uber)
- **Mission or purpose statement**: To reimagine autonomous mobility with embodied intelligence, aiming to make mobility safer, smarter, and more accessible for everyone.

## Products & Services
- **[Wayve AI Driver]**: A mapless, vehicle-agnostic, end-to-end AI software platform that runs entirely on onboard vehicle compute and native sensors. It delivers all levels of autonomy, from hands-off and eyes-off driving to robotaxis. The system is designed to be sensor and hardware-agnostic, scalable to new roads and cities without HD maps, and learns to drive using data.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$2.8B** across 4 rounds (as of May 2026). Estimated annual revenue of **$1.6B** (LinkedIn estimate, likely based on total funding and growth trajectory, not public filings).
- **Notable Investors/Partners**: SoftBank Group (lead, Series C), NVIDIA, Microsoft, Uber. Partners include Ocado Group, Asda, DPD, and world-class automakers.
- **Growth Signals**: 
    - Raised a $1.05B Series C in May 2024.
    - Uber invested to put future Wayve-powered vehicles on the Uber network globally.
    - First and only AV company to test a single global AI Driver model across **500+ cities** in Europe, North America, and Japan.
    - Headcount grew **84.0% YoY** to approximately 718 employees.
    - Operates in 23 countries.
    - Opened a second office in Mountain View, California.
    - Introduced breakthrough AI models GAIA-1 and LINGO-1 for generative AI in driving.

## Competitive Advantages
- **End-to-end AI approach**: Unlike many competitors using rule-based or modular approaches, Wayve uses a single, deep learning-based model that learns to drive from data.
- **Mapless technology**: Does not require expensive, high-definition (HD) maps, allowing rapid scaling to new cities and roads.
- **Vehicle-agnostic**: Software can be integrated into any vehicle type (cars, delivery vans, etc.) with any sensor suite, making it a platform for multiple OEMs.
- **Data-driven safety**: The AI learns from data and is designed to handle unexpected and unseen situations, with a focus on "deep world understanding."
- **Strong strategic partnerships**: Backed by tech giants (NVIDIA, Microsoft) and a mobility leader (Uber), providing both capital and go-to-market channels.

## Strategic Focus
- **Deploying Embodied AI at scale**: Moving from R&D to commercial products for automakers and logistics partners.
- **Global expansion**: Testing and deploying the AI Driver across diverse geographies (Europe, North America, Japan) to build a robust, generalizable driving intelligence.
- **Productizing for OEMs**: Developing the first Embodied AI product for production vehicles, led by President Erez Dagan (ex-Mobileye).
- **Last-mile delivery**: Commercial partnerships with Ocado Group, Asda, and DPD to trial AV technology on urban delivery routes.

## Why Work Here
- **Mission-driven**: Work on one of the hardest technological problems of our time — building safe, scalable autonomous mobility.
- **Innovative environment**: Pioneering end-to-end deep learning and embodied AI, with opportunities to work on groundbreaking research and products (GAIA-1, LINGO-1).
- **Culture**: Values include "Aim high. Stay humble," "Back each other to deliver impact," and "Humanity is core." Emphasis on diversity, equity, inclusion, and belonging (DEIB).
- **Employee Resource Groups (ERGs)**: Active communities including Black Excellence Network, Women Who Code, Neurodivergents at Wayve, and Wayve Veterans Network.
- **Benefits**: Competitive compensation (cash + equity), private healthcare, mental health resources (Spill), learning & development budgets, paid time off, and social clubs.
- **Work environment**: Hybrid/office setup with HQ in London and offices in Mountain View, CA, and Israel.
- **Growth opportunities**: Rapidly scaling company (84% headcount growth YoY) with 113 active job postings, offering significant career development.

## Sources
1. [wayve.ai](https://wayve.ai/)
2. [wayve.ai/careers](https://wayve.ai/careers/)
3. [wayve.ai/company](https://wayve.ai/company/)
4. [wayve.ai/company/leadership-team](https://wayve.ai/company/leadership-team/)
5. [LinkedIn](https://www.linkedin.com/company/wayve-technologies)

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