Principal Machine Learning Engineer at Toast

Toast, Inc.

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$230,000–$368,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $299k
$139k most similar roles pay here $392k

This role pays more than 93% of similar roles. Most pay $179,009–$249,821 — the shaded band above. At the midpoint, this role pays about $299k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Toast, Inc.

Toast is a cloud-based restaurant management platform providing point-of-sale, payment processing, and operations software for the food service industry.

Toast, Inc. currently has 45 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 43 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Principal Machine Learning Engineer at Toast

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Toast is seeking a Principal Software Engineer to join its AI & Strategy Engineering team, where you will lead the development of innovative tools that enhance sales operations. This role involves hands-on coding and architecting high-performance backend services and ML pipelines, integrating custom quoting software with Salesforce for seamless data-backed decision-making by sales teams. You’ll design intelligent workflows using LLMs to automate research and prioritization tasks, ensuring systems are scalable and resilient through rigorous testing and mentorship of junior engineers. Ideal candidates have deep expertise in backend languages like Java, Go, or Python, experience with machine learning models in production, and familiarity with AWS data services such as SageMaker and Lambda. The role requires a strong background in building complex enterprise software and event-driven architectures to solve intricate synchronization challenges across the GTM stack.

Skills

Python Java Go AWS SageMaker Lambda SQS Salesforce LLMs LangChain RAG CI/CD Docker Kubernetes PostgreSQL Prometheus Grafana

What you'll do

  • Design and implement ML models to provide real-time recommendations for sales users.
  • Build backend services that integrate custom quoting software with Salesforce and data lakes.
  • Develop intelligent, agentic workflows using LLMs to automate account research and lead prioritization.
  • Solve complex synchronization and architectural challenges across the GTM stack.
  • Ensure reliability of GTM tools by building deep observability into backend systems.

What we're looking for

  • Extensive experience in backend languages (Java, Go, Python) with complex system development.
  • Practical AI/ML skills including deployment of ML models and LLM integration in production.
  • Expertise in designing event-driven architectures and managing data flow across systems.
  • Hands-on experience building internal sales or fintech tools impacting revenue.
  • Bachelor’s or Master’s degree in Computer Science or related technical field.

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