or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 9 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 Model Release Engineer at Wayve will be responsible for automating the model-release process for AI Driver models, ensuring a smooth transition from feature integration to production. This role involves designing services and workflows, collaborating with various teams, and improving the platform's reliability and observability. The engineer will also utilize AI-assisted development tools to enhance productivity and streamline operations.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- 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
- Strong software engineering experience, including building production services and platforms in Python.
- Experience designing distributed systems, APIs or microservices that connect multiple tools and workflows.
- Proven ability to collaborate across organisational boundaries, align stakeholders, agree technical interfaces and work through conflicting priorities.
- Experience operating cloud-based services using Kubernetes, with a good understanding of reliability, scalability and performance.
- Practical knowledge of observability, monitoring and alerting, including defining meaningful service-health metrics.
- Confidence using AI coding tools and agents to improve engineering productivity and automate repeatable work.
Nice to have
- Experience with MLOps, machine-learning infrastructure or production model-training and release pipelines.
- Understanding of model evaluation, simulation, experiment orchestration or approval-gated release processes.
- Front-end development experience, ideally using React.
- Experience supporting highly available platforms used within business-critical production workflows.
What you get
- Hybrid working policy that combines time in the office and remote work.
Worth weighing
- No salary listed.
- The role involves collaboration across multiple teams, which may require navigating conflicting priorities.
- The job description suggests a fast-paced environment with evolving requirements.
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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