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ML Software Engineer (Multi-Embodiment Generalist Agent)

wayve • United States
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Join Wayve’s MEGA team as an ML Software Engineer to design and build scalable ML pipelines, data/training infrastructure, and shared tooling for general-purpose robotics agents. Focus on large-scale video, language, and robotics datasets, ensuring reliability and maintainability as the research program grows. Requires strong software engineering skills, ML pipeline experience, and hands-on expertise with modern ML frameworks.

Key Highlights
Founding member of the MEGA team building general-purpose robotics agents
Focus on scalable ML pipelines, data/training infrastructure, and shared tooling
Work with large-scale video, language, and robotics datasets
Key Responsibilities
Design and maintain scalable ML pipelines for data ingestion, model training, evaluation, and experimentation
Build reusable interfaces and shared tooling across data, models, training, evaluation, and downstream robotics workflows
Partner with researchers to translate evolving model and experiment needs into practical software systems
Diagnose and resolve performance, reliability, and usability bottlenecks across large-scale ML workloads
Raise the quality of the shared codebase through strong architecture, testing, documentation, and engineering standards
Technical Skills Required
Machine Learning Pipelines Distributed Training Systems ML Infrastructure & Tooling
Benefits & Perks
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Learning and development budgets (training, conferences)
Comprehensive benefits including health insurance, dental, maternity/paternity leave, retirement, wellbeing partnerships, and team socials
Nice to Have
Experience with large-scale video and robotics datasets
Experience with modern ML frameworks
Experience with distributed training and data processing

Job Description

We are looking for an ML Software Engineer to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member. MEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments, including mobile manipulators, dual-arm platforms, and humanoids.

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