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.
As a Senior Engineering Manager for ML & AI, you will partner across the R&D org and represent the team as the data science and machine learning thought leader and set directions for the Data & AI team to deliver innovative machine learning solutions using our huge reservoir of restaurant, payments, and orders data. You will work with data scientists, machine learning engineers, product managers and fellow engineering managers to turn ML/AI solutions into business impact across product lines, including commerce, hardware, guest and more.
**A day in the life (Responsibilities) **
- Lead, influence and contribute across R&D to drive business value for Toast and our restaurant customers
- Collaborate closely with product and engineering stakeholders to drive strategic direction for Toast’s AI-enabled products
- Work closely with leaders from Data Science, ML Engineering and Platform teams to help shape and execute the vision of ML Platform at Toast
- Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them
- Coach and mentor data scientists and ML engineers to be successful in their career growth
- Incorporate up-to-date DS approach as best practices for the team
- Help in continuing to build out and expand Toast’s AI product portfolio
- Work effectively in a dynamic, changing environment while focusing on key goals and objectives
What you'll need to thrive (Requirements)
- Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent disciplines with 5+ years of experience leading Data Science & ML Engineering teams
- Prior success deploying machine learning solutions in large-scale production environments
- Strong knowledge of underlying mathematical foundations of statistics and machine learning
- Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, etc.), including experience with ML model building with libraries such as Scikit, Tensorflow and PyTorch
- Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization
- Experience collaborating with cross-functional teams and product stakeholders to evaluate new Machine Learning opportunities
- Strong communication skills, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.
- Experience in mentoring and growing a data science team.
Bonus ingredients*****:
- Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders
- Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
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.
#LI-REMOTE
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
$230,000—$368,000 USD
Zone B
$200,000—$320,000 USD
Zone C
$180,000—$288,000 USD
How 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
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.
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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.