Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more. Backed by Khosla.
About the role
As TLM of the ML Datasets Platform, you will play a critical role defining the APIs, tooling, and storage formats that make datasets a shared, first-class asset at Waabi: versioned, efficiently updatable, fully traceable, and fast to load across GPU workloads. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep ML dataset experience: You have designed and built large-scale data infrastructure for ML training (storage formats, dataset versioning, ETL, dataloading) and understand the performance characteristics of petabyte-scale sensor or multimodal data
- Proven technical leadership: You have led a platform or infrastructure effort used by multiple teams, defined its APIs, and driven adoption across an organization
- People leadership: You have managed or tech-led a team of engineers, including hiring and mentoring, and can balance hands-on technical contribution with roadmap ownership and stakeholder management
- Team player: You communicate clearly with researchers and engineers, build consensus across teams with different needs, and deliver in a fast-paced environment
More about this role
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As TLM of the ML Datasets Platform, you will play a critical role defining the APIs, tooling, and storage formats that make datasets a shared, first-class asset at Waabi: versioned, efficiently updatable, fully traceable, and fast to load across GPU workloads. The technical challenge is to find the right abstractions so that every ML team can integrate with the platform for its model development use case without being forced into a one-size-fits-all mold, and without building its own data infrastructure on the side. You will do this as a hands-on technical leader who also grows and manages the team, sets its roadmap, and...
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