Senior Machine Learning Engineer, Vision Models
Wayve · Sunnyvale
Posted 28 days ago · $311,850–$370,000
or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- Yes 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As a Senior Machine Learning Engineer on the Measurement team at Wayve, you will focus on developing and refining computer vision and scene understanding models used to evaluate the performance of the Wayve Driver. Your role involves adapting existing models for offline use, improving their accuracy across various conditions, and establishing benchmarks to validate their performance. Collaboration with cross-functional teams and mentoring junior engineers will also be key aspects of your day-to-day responsibilities.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- 4+ years in ML engineering, including training and shipping deep learning models in production
- Hands-on experience training modern computer vision models, including transformer-based architectures
- Experience adapting or fine-tuning large pretrained or foundation models
- Proficient in Python and ML frameworks (especially PyTorch)
- Strong ownership and ability to drive a significant modelling workstream
- Able to measure your own models and define relevant metrics
Nice to have
- Experience in 3D scene understanding and representation learning
- Experience with offboard or offline modelling techniques
- Prior experience in autonomous vehicles or robotics
- Experience with fleet-scale data and large-scale distributed training infrastructure
What you get
- Hybrid working policy combining office and remote work
- Competitive equity package
- Reasonably estimated salary range of $311,850–$370,000
Worth weighing
- No specific details on the company's technology stack or tools beyond ML frameworks mentioned
- The role may involve high levels of ambiguity in modelling problems
- Focus on offline models may limit exposure to real-time systems
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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