[Remote] Principal Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Toast creates technology to help restaurants and local businesses succeed in a digital world, and they are seeking a hands-on Principal Machine Learning Engineer to join their AI & Strategy Engineering team. The role involves building tools to enhance sales operations through backend engineering and Machine Learning, focusing on developing intelligent workflows that improve decision-making for sales users.ResponsibilitiesHands-on Execution: Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines0-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 logicCore Intelligence Models: Design and implement ML models that provide real-time recommendations to sales users, reducing manual entry and increasing deal velocityInfrastructure 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 experienceTechnical Problem Solving: Act as a domain expert to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilientQuality & Mentorship: Drive engineering excellence through rigorous code reviews, automated testing, and by modeling best practices for SE1-SE3 engineers on the teamBuild Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready codeProblem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategyDeliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you shipSkillsExtensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systemsPractical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environmentExperience building or deeply integrating with complex enterprise software, specifically custom quoting engines or CRM internals (Salesforce Apex/LWC)Ability to design event-driven architectures and manage data flow across disparate systems with high integrityBachelor's or Master's degree in Computer Science, or a related technical fieldExperience building internal 'Sales Tech' or 'Fintech' tools that directly impact revenueFamiliarity with AWS data services (SageMaker, Lambda, SQS)A passion for removing 'human-in-the-loop' friction through intelligent automationBenefitsCash compensation (overtime, bonus/commissions if eligible)EquityBenefitsFlexibility to meet Toasters’ changing needsHybrid work model that fosters in-person collaboration while valuing individual needsReasonable accommodations for persons with disabilities to enable them to access the hiring processCompany OverviewToast is a point-of-sale and restaurant management platform designed for businesses in the food service and hospitality industry. It was founded in 2011, and is headquartered in Boston, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is https://pos.toasttab.com.Company H1B SponsorshipToast has a track record of offering H1B sponsorships, with 3 in 2026, 26 in 2025, 32 in 2024, 39 in 2023, 66 in 2022, 29 in 2021, 17 in 2020. Please note that this does not guarantee sponsorship for this specific role.