Guide critical parts of the team charter and strategy to build out our ML & AI Platform Collaborate with Data Scientists, Applied ML, and Applied AI teams to understand their needs, identify and prioritize initiatives to accelerate their ML/ AI workflows Participate in technical design discussions and software delivery while growing the team Collaborate with engineering teams like Data Platform and Infrastructure to inform system design and to integrate the new systems and tools into Gusto’s sta... more details
About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role
Gusto is seeking an experienced senior engineering leader to lead our ML & AI Platform team. This team owns the systems and tooling that powers our ML and AI applications, and enables Data Scientists, Applied ML, and Applied AI Scientists to efficiently build, test, deploy, and monitor models.
As a key member of Gusto's ML & AI leadership group, your role will encompass leading a dynamic team to build out a robust and scalable platform that accelerates ML and AI applications across the business and bring their benefits to SMBs. This is a highly impactful role in charge of advancing our foundational capabilities, and we’d be thrilled to hear from you!
About the Team
The ML & AI team is responsible for the infrastructure, systems, and tooling that Gusto uses to build, deploy and monitor ML and AI applications. The space is complex and continuously evolving, especially with the advent of AI, and this role offers the opportunity to drive the building of a platform that streamlines and accelerates business impact.
Here’s what you’ll do day-to-day
- Guide critical parts of the team charter and strategy to build out our ML & AI Platform
- Collaborate with Data Scientists, Applied ML, and Applied AI teams to understand their needs, identify and prioritize initiatives to accelerate their ML/AI workflows
- Participate in technical design discussions and software delivery while growing the team
- Collaborate with engineering teams like Data Platform and Infrastructure to inform system design and to integrate the new systems and tools into Gusto’s stack
- Define and develop best practices and processes to support efficient team operations
Here’s what we're looking for
- 8+ years of experience as a ML or Data Platform engineer, with 4+ years of experience in ML/AI
- 3+ years of engineering management experience ideally in a ML/AI platform role
- Expertise in building and supporting ML ops and data infrastructure, ideally in the cloud
- Exposure and interest in LLM Ops and Generative AI applications and infrastructure
- Strong technical acumen with the ability to understand and debate technical and product tradeoffs and approaches to building scalable architecture
- Passion for developing, coaching, and scaling direct reports
- Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops tools
Our cash compensation amount for this role is targeted at $191,000-$237,000/year in Denver, Chicago, and Atlanta, $208,000-$258,000/year in Los Angeles, and $225,000-$279,000/year for Seattle, San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to candidate-accommodations@gusto.com.
