Principal Machine Learning Engineer
Toast, Inc. - Remote, USA
Posted Feb 9, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Principal Machine Learning Engineer Remote, USA 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. Toast is looking for a hands-on Principal Software Engineer to join the AI & Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it's about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. Working under a Senior technical leader, you will be responsible for the "heavy lifting" of backend engineering and Machine Learning implementation. You will bridge our custom quoting software and Salesforce with intelligent, agentic workflows that allow sales users to make faster, data-backed decisions. A day in the life (Responsibilities) - Hands-on Execution: Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines. - 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. - Core Intelligence Models: Design and implement ML models that provide real-time recommendations to sales users, reducing manual entry and increasing deal velocity. - Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. - Technical Problem Solving: Act as a domain expert to solve complex synchronization and architectural
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