Machine Learning Engineer, ADAS

• Train, debug, and improve computer vision and 3D perception models, iterating based on clear evaluation signals across the full ML lifecycle. • Help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation across lanes, objects, traffic signs, and traffic lights. • Build scalable data pipelines including auto-labelling and pseudo-labelling to accelerate model development.

• Have built and shipped CV-focused deep learning systems with strong applied ML engineering experience. • Have experience with 3D perception concepts or pipelines such as LiDAR, multi-view geometry, tracking, or 3D reconstruction. • Be comfortable owning work end-to-end, including evaluation and dataset generation. • Enjoy pragmatic problem-solving under real product constraints. • Be excited to improve real-world driving performance through better perception.

• Train, debug, and improve computer vision and 3D perception models, iterating based on where the system is underperforming. • Work across the full ML lifecycle from data to training to evaluation to iteration, partnering with the team to decide what to tackle next. • Build scalable data pipelines including auto-labelling and pseudo-labelling to accelerate model development. • Contribute to offline pipelines like tracking and 3D reconstruction that back-propagate known good labels through time and generate large labelled datasets. • Depending on strengths, lean into online models that must run fast in-car or offline models that improve data quality and coverage at scale.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work in a hybrid model from Wayve's London office. • Receive salaries benchmarked against the market annually with meaningful equity. • Access relocation support and visa sponsorship where applicable. • Benefit from enhanced maternity and paternity leave. • Receive a learning and development budget with support for training and conferences. • Access comprehensive benefits including health insurance, dental, therapists, and wellbeing partnerships.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its 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. Wayve's ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving, working end-to-end from creating high-quality training data to developing and evaluating CV/3D perception models.