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.
The Machine Learning Platform team builds and operates the core infrastructure that powers ML across Toast — the feature store, model hosting and serving, the experimentation platform, training pipelines, and the tooling ML engineers and data scientists rely on every day. Our work directly enables the models that drive personalization, forecasting, fraud detection, search, and the growing set of AI-powered experiences shipping to restaurants.
Toast is seeking a Staff Software Engineer to act as a technical leader on the ML Platform team, shaping the systems that will carry Toast's ML capabilities into the next decade. The role involves driving architectural direction across the platform, delivering foundational infrastructure that other teams build on, and elevating fellow engineers. The ideal candidate is a domain expert who partners with ML engineers, data scientists, product, and infrastructure leadership on high-leverage opportunities.
This position suits an engineer comfortable writing production code, leading technical design for distributed systems, and influencing organizational decisions about how Toast builds and deploys ML.
A day in the life (Responsibilities)
Own technical direction of the ML Platform — feature store, model hosting and serving, experimentation, training infrastructure — driving architectural decisions around scalability, reliability, latency, and cost
Lead design and delivery of large-scope platform initiatives from conception through production, coordinating across ML, data, and infrastructure teams
Identify and resolve systemic technical challenges: online/offline feature parity, model deployment friction, experimentation velocity, GPU utilization, cross-team dependencies
Set and maintain a high engineering quality bar through hands-on code contributions, design reviews, and mentorship of platform and ML-adjacent engineers
Partner with ML engineering, data science, product, and platform leadership to translate ML strategy into technical roadmaps
Define the paved paths ML teams use to ship models safely — from feature registration through canary rollout, monitoring, and rollback
Leverage AI-augmented development tools to increase development velocity and code quality
What you'll need to thrive (Requirements):
8+ years delivering complex backend or infrastructure systems at scale
Direct experience building or operating core ML infrastructure — feature stores, model serving, experimentation platforms, training orchestration, or equivalent
Mastery of a modern backend language such as Python, Java, Kotlin, Go, or Scala
Deep proficiency with distributed systems concepts: consistency, latency, throughput, fault tolerance, and observability
Strong understanding of data modeling, query languages, and the online/offline data patterns that underpin ML systems
Demonstrated technical leadership, with ability to drive cross-team alignment and influence engineering, product, and business stakeholders
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Nice to Haves:
Hands-on experience with open-source or commercial ML platform components (e.g. Tecton, MLflow, SageMaker, Databricks)
Experience building or operating experimentation / A-B testing platforms at scale
Familiarity with real-time streaming systems (Kafka, Flink, Spark Streaming) and their use in feature computation
Experience serving LLMs or large deep-learning models in production, including GPU capacity planning and inference optimization
Comfort with Kubernetes and modern cloud-native infrastructure
Prior work supporting internal-developer-facing platforms with a product mindset AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
Zone A$193,000—$309,000 USDZone B$168,000—$269,000 USDZone C$151,000—$242,000 USDHow Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Toast is a leading hospitality software company that creates technology to help restaurants and local businesses succeed in a digital world. The company's central product is the Toast POS app, a point-of-sale system used by hundreds of thousands of servers, hosts, bartenders, and chefs to serve millions of guests daily. Toast's platform enables business owners to operate their restaurants more efficiently, increase sales, engage customers, and keep employees happy through integrated solutions spanning POS, backend services, and frontend systems. The company is expanding its product offerings to serve enterprise customers managing multiple locations and requiring advanced features for complex business operations.
