Staff Machine Learning Engineer – Vision AI

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $151k - $309k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Toast

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🍽️ Food & Beverage

💼 Consulting

📦 Logistics

Food & Beverage • Consulting • Logistics

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

• Build ML systems and drive model choices • Select and integrate vision models, including vision-language models • Build inference pipelines, evaluation systems, and production model-performance monitoring • Contribute to architecture and design decisions • Collaborate with product, design, and Toast teams on integrations and dependencies • Use AI coding tools and agent harnesses to design, build, test, and ship • Set standards for quality, testing, reliability, security, and privacy • Support other engineers through code reviews and collaboration

🎯 Requirements

• 8+ years building and shipping models in production • Mastery of a modern backend language such as Python, Java, Kotlin, Go, or Scala • Experience integrating AI or ML models, or LLM and vision-language model APIs, into production features • Strong understanding of data modeling, query languages, and online/offline data patterns underpinning ML systems • Deep proficiency with distributed systems concepts: consistency, latency, throughput, fault tolerance, and observability • Experience taking ambiguous ideas from prototype to production with real customers • Daily use of AI coding assistants and agent harnesses, e.g. Claude Code and Cursor • Bachelor's degree in Computer Science or a related field, or equivalent practical experience • Ability to collaborate with product, design, and engineering partners and explain tradeoffs clearly

🏖️ Benefits

• Competitive compensation and benefits programs • Cash compensation, including overtime and bonus/commissions if eligible • Equity • Benefits supporting a healthy lifestyle • Flexibility to meet changing needs • AI tools provided across disciplines • Reasonable accommodations for persons with disabilities

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