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Staff Machine Learning Engineer, Data Curation & Dataset Strategy at Wayve - ApplyBlast

Staff Machine Learning Engineer, Data Curation & Dataset Strategy

Wayve

3 days ago

4.4 on Glassdoor

Sunnyvale, California, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

This role focuses on shaping the data strategy for Wayve's AI Driver by building and owning ingestion-time models that score, route, and filter large-scale driving data. The position involves defining dataset content strategies, steering data selection based on model engineering needs, and delivering measurable storage-cost savings. The successful candidate will partner with cross-functional teams to set company-wide data policies and lead the development of data provisioning features.

Responsibilities

Build and own ingestion-time models to score and route incoming driving data
Define dataset content strategy and data distributions for model training
Lead cross-functional teams to set company-wide data policy and provisioning

Skills

About Wayve

wayve.ai

Headquarters

London, England, United Kingdom

Company Size

201-500 employees

Founded

2017

View Profile

Wayve is a UK-founded autonomous driving company developing "embodied AI" — end-to-end learning systems that enable vehicles to perceive, reason and act in complex, dynamic environments. Their camera-first, data-driven approach trains neural policies from real-world driving and simulation to scale capability across locations and vehicle platforms rather than relying on hand-engineered, map-heavy rules. Wayve builds software for both advanced driver assistance and full automated-driving applications, emphasizing adaptability and continual learning. They work with OEMs and fleet partners to commercialize scalable autonomy for real-world deployment.