ML Software Engineer (Multi-Embodiment Generalist Agent) - Wayve

wayve • United States

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AI Summary

Build scalable ML pipelines and infrastructure for Wayve’s MEGA team, focusing on data ingestion, model training, and robotics workflows. Design reusable software systems to support large-scale video, language, and robot-interaction datasets. Requires strong software engineering, ML pipeline experience, and collaboration with researchers.

Key Highlights

Founding member of the MEGA team building general-purpose robot foundation models.

Ownership of scalable ML pipelines, data infrastructure, and shared tooling for research.

Close collaboration with researchers to translate model requirements into software systems.

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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 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.

Support distributed training and data processing across large video, language, and robot-interaction datasets.

Technical Skills Required

Machine Learning Pipelines Distributed Training Systems ML Infrastructure & Tooling

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Benefits & Perks

Meaningful equity

Relocation support and visa sponsorship where applicable

Hybrid working with core hours

Comprehensive benefits including health insurance, dental, and parental leave

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Nice to Have

Experience with large-scale video and robotics datasets.

Experience with modern ML frameworks (e.g., PyTorch, TensorFlow).

Experience with software testing, code quality, and engineering practices.

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, enabling agents to perceive, reason, and act reliably in the physical world.

Your day-to-day will include:

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