Staff Machine Learning Engineer - Ops

📋 Description

• Define and evolve Wayve’s model development and release processes, including branching strategies
• Review proposed model, architecture, code, and metric changes to ensure the implementation matches
• Assess evaluation results and determine whether releases meet Wayve’s quality and safety standards.
• Identify delivery bottlenecks and work across teams to address their root causes.
• Balance speed and rigour, making informed decisions about when to accelerate delivery and when a

🎯 Requirements

• Significant software integration and release experience, including branching strategies, release
• Understanding of ML training, model lifecycles, and the infrastructure required to deliver models
• Ability to review model, architecture, or code changes and challenge decisions that do not align
• Experience with ML tooling and technologies such as PyTorch, TensorRT, model registries
• Comfortable working with CI/CD systems and GitHub Actions.
• Ownership of ambiguous, cross-team problems and preference for fixing underlying processes.

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave