Machine Learning Software Engineer

📋 Description

• Design and maintain scalable pipelines for data ingestion, model training, evaluation, and
• Build reusable interfaces and shared tooling across data, models, training, evaluation, and
• Partner with researchers to translate evolving model and experiment needs into practical software
• Diagnose and resolve performance, reliability, and usability bottlenecks across large-scale ML
• Raise the quality of the shared codebase through strong architecture, testing, documentation, and
• Support distributed training and data processing across large video, language, and

🎯 Requirements

• Strong software engineering skills and experience building high-quality, maintainable software.
• Experience building and maintaining machine learning pipelines or infrastructure, such as data
• Experience designing software systems and abstractions that are reliable, reusable, and able to
• Hands-on experience with modern machine learning frameworks and a good understanding of how ML
• Strong debugging skills and the ability to investigate problems across complex ML systems.
• Experience with software testing, code quality, and engineering practices for maintaining a healthy

🎁 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