# Machine Learning Engineer, ADAS at Wayve

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Train, debug and improve computer vision

- **Company:** Wayve (https://jobs.trythestack.co/companies/wayve)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Computer Vision, 3D Perception, Deep Learning, Machine Learning Engineering, PyTorch, TensorFlow, LiDAR, Multi-view Geometry, Instance Segmentation, Object Detection, Data Pipeline Construction, 3D Reconstruction, Auto-labelling, Pseudo-labelling, System Design, Programming
- **Posted by employer:** 2026-07-07
- **Added to The Stack:** 2026-07-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://wayve.firststage.co/jobs?gh_jid=8622191002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/machine-learning-engineer-adas-wayve

## About the role

Responsibilities:
- Train, debug and improve computer vision and 3D perception models (detection, classification, instance segmentation).
- Own the full ML lifecycle: data collection, training, evaluation and iterative improvement.
- Build scalable data pipelines including auto-labelling and pseudo-labelling to accelerate dataset generation.
- Develop offline systems (tracking, 3D reconstruction) to propagate high-quality labels through time.
- Optimize models for online/in-car constraints when required (latency, compute footprint).
- Collaborate with engineers and product teams to prioritize work based on measurable evaluation signals.

Requirements:
- Proven experience shipping CV-focused deep learning systems (applied ML engineering, not research-only).
- Familiarity with 3D perception concepts and pipelines (LiDAR, multi-view geometry, tracking, reconstruction).
- Strong software skills in Python and experience with PyTorch or TensorFlow; C++ is a plus.
- Experience building and evaluating large-scale datasets and labelling pipelines.
- Pragmatic problem-solver who can own projects end-to-end and iterate from metrics and failure cases.
- Effective communicator and collaborator within cross-functional teams.

## Responsibilities

Develop and improve computer vision and 3D perception models for ADAS, focusing on detection, classification, and instance segmentation. Build scalable data pipelines and offline reconstruction tools to accelerate model training and evaluation.

## Requirements

Candidates must have a proven track record of shipping CV-focused deep learning systems and experience with 3D perception concepts like LiDAR or multi-view geometry. Strong applied ML engineering skills and the ability to own the full ML lifecycle are required.

## FAQ

- **Is this Machine Learning Engineer, ADAS role still open?** It was posted on 2026-07-07. Listings more than 30 days old may no longer be active, so check Wayve's site before applying.
- **Does Wayve offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Wayve's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Computer Vision, 3D Perception, Deep Learning, Machine Learning Engineering, PyTorch, TensorFlow, LiDAR, Multi-view Geometry, Instance Segmentation, Object Detection, Data Pipeline Construction, 3D Reconstruction, Auto-labelling, Pseudo-labelling, System Design, Programming.

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## Notes for agents

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