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
As an Applied Scientist/Machine Learning Engineer at Wayve, you will focus on developing next-generation world models and planners for autonomous driving. Your work will involve creating generative simulation models that enhance training and evaluation processes, ensuring efficiency and interactivity in simulating complex driving environments. You will also mentor junior researchers and contribute to the broader research community through publications and innovative ideas.
- benefits
- 3/5
- 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 of experience in ML research/engineering with a focus on generative video, world models
- Deep knowledge in diffusion & latent-video models; track record of improving sampling efficiency or model throughput
- Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion)
- Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools
- Strong publication record or contributions to open-source ML tooling
- Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment
Nice to have
- Experience in AVs, robotics, simulation, or other embodied AI domains
- Experience working with synthetic-to-real transfer
What you get
- Hybrid working policy combining office and remote work
- Core working hours for flexible scheduling
- Opportunity to work on transformative technology with real-world impact
- Access to massive driving datasets and cutting-edge infrastructure
- High-trust, high-autonomy team environment that values creativity and experimentation
Worth weighing
- No salary listed
- Focus on generative simulation may limit exposure to other areas of ML
- Role involves significant mentoring responsibilities which may not suit all candidates
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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