Staff Machine Learning Engineer

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🔥 0 minutes ago

🏄 California, Florida, +7 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

💵 $151k - $309k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Toast

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

☁️ SaaS

🤝 B2B

SaaS • B2B • Hospitality

Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.

📋 Description

• 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 • Leverage AI-augmented development tools to increase development velocity and code quality

🎯 Requirements

• 8+ 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 such as Python, Java, Kotlin, Go, or Scala • Deep proficiency with distributed systems concepts: consistency, latency, throughput, fault tolerance, and observability • Strong understanding of data modeling, query languages, and the online/offline data patterns that underpin ML systems • Demonstrated technical leadership, with ability to drive cross-team alignment and influence engineering, product, and business stakeholders • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

🏖️ Benefits

• Competitive compensation and benefits programs • Flexibility to meet Toasters’ changing needs • Health insurance • 401(k) matching