# Senior Machine Learning Engineer, Vision Models at Wayve

- Company: Wayve
- What the company does: Backed by SoftBank VF and Air Street.
- Company website: https://wayve.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Sunnyvale
- Work setup: On-site
- Pay: $312K to $370K base salary per year (USD)
- Posted: 2026-08-19
- Apply by: 2026-10-08
- Apply: https://wayve.firststage.co/jobs?gh_jid=8728757002
- Page: https://www.1752.vc/careers/jobs/wayve-senior-machine-learning-engineer-vision-models/

## About the role

As a Senior Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions.

## What they're looking for

- Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use
- Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions, diagnose failure modes and close the loop on blind spots
- Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning
- Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration, treat measurement as the feedback that drives the modelling
- Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio

Tags: Simulation, Evaluation, Validation