Staff Machine Learning Software Engineer
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and maintain scalable pipelines for data ingestion, training, evaluation, and research workflows. You will create reusable software interfaces, improve codebase health and reliability, resolve workflow bottlenecks, build distributed training and data-processing infrastructure, and translate research needs into practical systems.
Requirements
- Software engineering experience building maintainable software
- Experience building and maintaining machine-learning pipelines or infrastructure
- Experience designing reliable and reusable software systems
- Experience with modern machine-learning frameworks
- Debugging skills across complex machine-learning systems
- Experience with software testing, code quality, and shared codebases
- Experience with large datasets, large models, or computationally demanding machine-learning workloads
Responsibilities
- Design, build, and maintain scalable machine-learning pipelines
- Build software systems that scale machine-learning workloads
- Develop reusable interfaces between data, models, training, evaluation, and robotics workflows
- Improve software architecture, testing, reliability, maintainability, and engineering standards
- Resolve performance, reliability, and usability bottlenecks
- Build infrastructure supporting multiple machine-learning projects
- Translate research requirements into practical software solutions
- Build distributed training and data-processing pipelines
Benefits
- Equity package
- Flexible scheduling through core working hours