or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 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 Technical Lead Manager for Synthetic Data at Wayve, you will lead a team focused on reducing reliance on real-world data for autonomous vehicle training by utilizing generative world models. Your role involves setting technical direction, managing team dynamics, and ensuring the integration of synthetic data into the broader training stack. You will also engage in hands-on technical contributions, optimize processes, and mentor team members in a fast-paced, innovative environment.
- benefits
- 1/5
- freshness
- 5/5
- 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
- 5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks
- 4+ years of people management experience, including direct reports and cross-functional project ownership
- Deep knowledge of generative modelling applied to video or other high-dimensional temporal data
- Hands-on experience with video, generative or world models
- Working knowledge of cameras and 3D geometry
- Evidence of closing the loop: taking generated or simulated data into a trained downstream model
Nice to have
- Experience in AVs, robotics, simulation, or other embodied AI domains
- Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models
- Reward models, offline RL, or closed-loop evaluation of driving policies
- Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets
- Strong publication record or contributions to open-source ML tooling
What you get
- Hybrid working policy combining office and remote work.
Worth weighing
- Role emphasizes leadership and mentoring over hands-on technical work, which may not suit those preferring direct technical problem-solving.
- Candidates should be comfortable with high-ambiguity projects and evolving priorities.
- Experience with generative modelling must include downstream metrics, not just theoretical knowledge.
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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