or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 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
The Machine Learning Engineer will focus on building, scaling, and optimizing next-generation world model architectures for synthetic data generation to enhance autonomous vehicle development. Responsibilities include post-training world models, managing the generation loop, and integrating synthetic data into training processes. Collaboration with ML researchers and platform engineers is key to ensure seamless integration of synthetic data into real-world applications.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- 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
- 4+ years in applied ML / research engineering
- Strong Python and PyTorch (or equivalent)
- Hands-on experience with video, generative, or world models
- Working knowledge of cameras and 3D geometry
- Evidence of taking generated or simulated data into a trained downstream model
- Ability to operate generation or training at real scale
Nice to have
- World models, video diffusion/flow, or controllable generation
- Distillation, few-step sampling, KV caching, or other inference-speed work
- AV / robotics / simulation experience
- Productionising research with Flyte/Ray/Spark
- Experience with reward models, offline RL, or closed-loop evaluation
What you get
- Hybrid working policy
- Core working hours flexibility
Worth weighing
- No salary listed
- Role involves significant collaboration and ownership of capabilities
- Focus on cutting-edge technology and real-world application of synthetic data
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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