At a Glance
- Tasks: Train and improve AI models for vehicle perception and navigation.
- Company: Wayve, a leader in Embodied AI technology.
- Benefits: Competitive salary, equity, hybrid work, and comprehensive health benefits.
- Other info: Dynamic environment with strong focus on diversity and inclusion.
- Why this job: Join a cutting-edge team and shape the future of driving technology.
- Qualifications: Experience in computer vision and deep learning systems required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, United Kingdom
Overview
Wayve is a leading developer of Embodied AI technology, creating advanced AI software and foundation models that enable vehicles to perceive, understand, and navigate complex environments.
Responsibilities
- As a Machine Learning Engineer on the ADAS engineering team, you will train, debug, and improve computer vision and 3D perception models, iterate across the ML lifecycle, and build scalable data pipelines.
What You'll Be Working On
- Deliver core ADAS perception capabilities such as detection, classification, and instance segmentation for lanes, objects, traffic signs, and traffic lights.
- Develop offline pipelines like tracking and 3D reconstruction to generate large labeled datasets.
- Decide whether to focus on online models that must run fast in-car or offline models that enhance data quality and coverage at scale.
Qualifications
- Experience building and shipping CV-focused deep learning systems.
- Strong applied ML engineering skills (not research-only).
- Experience with 3D perception concepts or pipelines (e.g., LiDAR, multi‑view geometry, tracking, 3D reconstruction).
- Ability to own work end‑to‑end: evaluation, dataset generation, and iteration under product constraints.
- Pragmatic problem‑solving mindset and passion for improving real‑world driving performance.
Interview Process
- Initial call / recruiter screen (30 minutes)
- Competency interviews: programming and system design (2 hours total)
- Deep‑dive technical interviews (domain‑specific, 1 hour total)
- Final interview: mission & values alignment (1 hour)
Benefits
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working model and flexible core hours
- Learning and development budgets, training, conferences
- Comprehensive health benefits, dental, maternity and paternity leave, retirement or pension options, wellbeing partnerships, team socials
EEO Statement
Wayve is 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 or any other basis as protected by applicable law.
Machine Learning Engineer, ADAS employer: Necessary Ventures
Wayve is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets inclusivity. As a Data Scientist, you'll not only contribute to cutting-edge AI technology but also benefit from a hybrid working policy that promotes work-life balance and fosters professional growth through collaborative projects and diverse perspectives. Join us to be part of a forward-thinking team dedicated to optimising fleet operations while enjoying a culture that values every individual's unique contributions.
