North AmericaFull TimeEngineering
Remotely
Listed on 3 job boards, which is a stronger signal than one board alone.
javakotlindistributed systemstrainingmodel servingexperimentationfeature storeml platform
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Job Description
📋 Description
- Lead ML Platform infrastructure shaping Toast's AI capabilities
- Own architecture across feature store, model hosting, serving, and training
- Collaborate with ML engineers, data scientists, product, and infra leadership
- Drive scalable, reliable, low-latency ML systems and experimentation
- Mentor engineers and elevate engineering quality
- Translate ML strategy into technical roadmaps
🎯 Requirements
- 10+ years delivering backend or infra systems at scale
- Experience building/operating ML infrastructure: feature stores, model serving, experimentation
- Mastery of a modern backend language, ideally Java or Kotlin
- Distributed systems expertise: consistency, latency, throughput, observability
- Strong data modeling and online/offline data patterns for ML systems
- Technical leadership with cross-team influence
🎁 Benefits
- Hybrid/hyrbid-friendly culture with in-person collaboration where possible
- Total rewards including compensation, equity, and benefits
- AI tools to support recruitment and interview processes
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