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
- No 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 Staff Tech Lead Manager at Wayve, you will lead a team focused on building and productionizing offline scene understanding models for autonomous vehicles. Your responsibilities include managing senior machine learning engineers, guiding technical direction, and ensuring high-quality production standards for machine learning systems. You will also collaborate across teams to align roadmaps and drive the development of models that enhance the evaluation of driving behaviors in various scenarios.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
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
- 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data
- 2+ years line-managing or tech-leading senior engineers
- Staff-level technical depth in transformer-based and multimodal architectures, foundation models, and large-scale training
- Proficient in Python and ML frameworks (especially PyTorch)
- Strong cross-functional leadership skills
Nice to have
- Knowledge of perception systems and 3D scene understanding for autonomy
- Experience with offboard or offline models
- Familiarity with simulation or counterfactual evaluation methods for autonomous systems
- Experience leading or partnering with distributed teams across UK and US time zones
- MS or PhD in Computer Science, Engineering, or a related field
What you get
- Hybrid working policy that combines office and remote work
Worth weighing
- No salary listed
- Role requires managing a team and technical leadership, which may involve balancing both responsibilities
- The position involves working with complex and potentially ambiguous technical challenges
- Focus on building production systems may require a strong commitment to quality and engineering practices
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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