The opportunity
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
What you'll do
Own technical direction of the ML Platform: feature store, model hosting and serving, experimentation, training infrastructure — driving architectural decisions around scalability, reliability, latency, and cost
Lead design and delivery of large-scope platform initiatives from conception: through production, coordinating across ML, data, and infrastructure teams
Identify and resolve systemic technical challenges: online/offline feature parity, model deployment friction, experimentation velocity, GPU utilization, cross-team dependencies
Set and maintain a high engineering quality bar through hands-on code: contributions, design reviews, and mentorship of platform and ML-adjacent engineers
Partner with ML engineering, data science, product, and platform leadership: to translate ML strategy into technical roadmaps
Define the paved paths ML teams use to ship models safely: from feature registration through canary rollout, monitoring, and rollback
What they're looking for
- Leverage AI-augmented development tools to increase development velocity and code quality
- + years delivering complex backend or infrastructure systems at scale
- Direct experience building or operating core ML infrastructure: feature stores, model serving, experimentation platforms, training orchestration, or equivalent
- Mastery of a modern backend language, ideally Java or Kotlin
