Machine Learning Engineer, AV Engineering
Wayve · Herzliya, Tel Aviv District, Israel
- On site
- Full-time
- $150,000 / year
- Herzliya, Tel Aviv District, Israel
Job highlights
- Build critical behaviors for L2-L4 driving.
- Train and ship end-to-end driving models.
- Own the full ML loop: data to validation.
- Work on high-priority commercial deliveries.
- Join a high-growth, impact-driven team.
About the role
About Wayve
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!
The Role
We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, 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 MVP). 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 safety 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).
- Proven 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 safety-critical systems.
- Experience with a Pytorch lightning training infrastructure.
Location and Work Policy
This is a full-time role based in our office in 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.
Inclusive Interview Process
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.
For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve
Key skills/competency
- Machine Learning
- Deep Learning
- AI Driver Models
- Data Curation
- Model Training
- Reinforcement Learning
- Transformer Networks
- Safety-Critical Systems
- Pytorch Lightning
- Automotive AI
Skills & topics
- Machine Learning Engineer
- AI
- Deep Learning
- Autonomous Driving
- AV Engineering
- Computer Vision
- Python
- PyTorch
- Reinforcement Learning
- Data Science
How to get hired
- Tailor your resume: Highlight deep learning, production ML, and end-to-end ownership relevant to Wayve's AV engineering needs.
- Showcase relevant experience: Emphasize your contributions to safety-critical systems, reinforcement learning, or transformer networks if applicable.
- Prepare for technical interviews: Be ready to discuss model training, evaluation strategies, and real-world deployment challenges in AV.
- Highlight problem-solving skills: Demonstrate your ability to tackle complex AI challenges and deliver tangible results in fast-paced environments.
- Express passion for autonomy: Clearly articulate your interest in Wayve's mission to advance self-driving technology.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific autonomous driving levels does this Machine Learning Engineer role focus on at Wayve?
- This Machine Learning Engineer role at Wayve focuses on building critical behaviors for Level 2 to Level 4 driving, contributing to the advancement of autonomous vehicle technology.
- What is the expected timeline for shipping ML models into production at Wayve?
- At Wayve, the product-focused nature of this role means you'll be working with fast timelines, aiming to get end-to-end driving models trained and shipped into the car within months.
- What kind of data is used for training driving behaviors at Wayve?
- Wayve utilizes both real-world and synthetic data to train specific driving behaviors. The role involves mining, curating, and implementing data schemes to support effective model training.
- Does Wayve require prior automotive or safety-critical ML experience for this role?
- While experience with automotive or deploying ML into safety-critical systems is desirable, it's not strictly essential. Proven experience in training deep learning models and taking ML models into production is considered essential.
- What is Wayve's approach to remote vs. in-office work for the Machine Learning Engineer position?
- This role operates under a hybrid working policy, balancing time in the Israel office for collaboration and innovation with remote work for focused tasks.
- How does Wayve ensure an inclusive interview process for Machine Learning Engineer candidates?
- Wayve is committed to an inclusive interview process and encourages candidates to communicate any required accommodations or adjustments needed to fully participate.
- What are the key responsibilities for a Machine Learning Engineer at Wayve regarding model ownership?
- Machine Learning Engineers at Wayve own key parts of the training model lifecycle, including evaluation strategy, defining success metrics, and planning iteration cycles.
- Is reinforcement learning experience a requirement for the Machine Learning Engineer role?
- Reinforcement learning experience is desirable, particularly if it has demonstrably improved real-world performance, but it is not an essential requirement for this position.