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. They are seeking a Principal Machine Learning Engineer to develop innovative tools that enhance sales operations through advanced Machine Learning and backend engineering.
Responsibilities
- Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines
- Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic
- Design and implement ML models that provide real-time recommendations to sales users, reducing manual entry and increasing deal velocity
- 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
- Act as a domain expert to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient
- Drive engineering excellence through rigorous code reviews, automated testing, and by modeling best practices for SE1-SE3 engineers on the team
- Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code
- Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy
- Ensure the reliability of GTM tools by building deep observability into every service you ship
Skills
- Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems
- Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environment
- Experience 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 integrity
- Bachelor's or Master's degree in Computer Science, or a related technical field
- Experience building internal 'Sales Tech' or 'Fintech' tools that directly impact revenue
- Familiarity with AWS data services (SageMaker, Lambda, SQS)
- A passion for removing 'human-in-the-loop' friction through intelligent automation
Benefits
- Cash compensation (overtime, bonus/commissions if eligible)
- Equity
- Benefits
- Flexibility to meet Toasters’ changing needs
- Reasonable accommodations for persons with disabilities to enable them to access the hiring process
Company Overview
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