Lead Waabi’s ML Dataset Platform with Python, distributed systems, and dataset versioning expertise while managing an engineering team. Shape scalable infrastructure for training workloads.

As Technical Lead Manager, you will define platform APIs, tooling, and storage formats for shared, traceable datasets. You will balance reusable infrastructure with specific model-development needs. The role combines hands-on technical leadership, roadmap ownership, hiring, mentoring, and stakeholder management across ML teams.

Key Responsibilities:

- Lead and grow the ML Dataset Platform team
- Define APIs, tools, storage formats, and technical roadmap
- Build versioning and incremental dataset update tooling
- Own common dataloading tools and observability




- Drive platform adoption across model development teams

Requirements:

- Deep experience building large-scale ML training data infrastructure
- Very solid Python and PyTorch training loop skills
- Experience with distributed systems and cloud storage
- Leadership experience defining APIs and driving organizational adoption
- Experience hiring, mentoring, and managing engineers

Apply technical leadership, Python, and dataset platform expertise to advance Waabi’s ML training infrastructure for autonomous transportation.

📌 ML Dataset Platform Technical Lead Manager (Toronto)
🏢 Waabi
📍 Toronto