Principal Machine Learning Engineer
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Job Description
Principal Machine Learning Engineer designing ML models and backend services at Toast. Build internal tools leveraging AI to enhance sales processes for restaurants.
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
- Design and implement ML models that provide real-time recommendations
- Develop the backend between custom quoting engine, Salesforce, and internal data lakes
- Act as a domain expert to solve complex synchronization and architectural challenges
- Drive engineering excellence through code reviews and automated testing
- Deliver significant core capabilities that have broad impact
- Anticipate shifts in product needs and build flexible backend systems
- Ensure the reliability of GTM tools
Requirements:
- Extensive experience in backend languages (Java, Go, Python)
- Practical, hands-on experience deploying Machine Learning models and building with LLMs
- Experience building or deeply integrating with complex enterprise software
- Ability to design event-driven architectures and manage data flow
- Bachelor’s or Master’s degree in Computer Science, or a related technical field
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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