Head of AI and Machine Learning Engineering
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
classical ML · GenAI · LLMs · statistical modeling · risk modeling · ML Platform · retrieval · agents · observability · production-scale deployment
About Gusto
SMB people platform for payroll, benefits, HR, compliance, and contractor payments, with embedded payroll APIs and new AI workflows for business owners and accountants.
Series E
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
interview process. About the Role: Gusto sits at the center of many of the most important workflows for small businesses, which creates a meaningful opportunity to use rich product and customer data to build AI- and ML-powered systems that improve customer experiences, automate complex work, support better decision-making, and help small businesses thrive. As Gusto becomes more AI-native, we are evolving how AI, ML, risk modeling, and platform capabilities come together across our products and internal systems. We are seeking a strategic Head of AI/MLE to lead this next chapter. In this key leadership role, you will define how Gusto builds, deploys, evaluates, and scales AI/ML systems across the company. You will lead a broad organization spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, while partnering closely with senior business leaders to
More from the job description
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: Gusto sits at the center of many of the most important workflows for small businesses, which creates a meaningful opportunity to use rich product and customer data to build AI- and ML-powered systems that improve customer experiences, automate complex work, support better decision-making, and help small businesses thrive. As Gusto becomes more AI-native, we are evolving how AI, ML, risk modeling, and platform capabilities come together across our products and [... source excerpt omitted ...] strategic Head of AI/MLE to lead this next chapter. In this key leadership role, you will define how Gusto builds, deploys, evaluates, and scales AI/ML systems across the company. You will lead a broad organization spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, while partnering closely with senior business leaders to shape where AI can create durable customer and business impact. As the Head of AI/MLE at Gusto, you will be responsible for unifying classical ML and GenAI into a coherent technical strategy, maturing the platform for broader self-service adoption, and shaping how AI-native products and production systems are built at Gusto [... source excerpt omitted ...] nt, monitoring, feedback loops, and operational governance. Your leadership will be critical in setting the technical direction, operating model, and quality bar for AI at Gusto. You will help teams move quickly where speed and learning matter most, while ensuring production systems meet high standards for reliability, measurement, safety, and long-term maintainability. This is a senior technical executive role for someone who can combine deep engineering credibility, strong business judgment, and executive-level influence to make AI a durable advantage for Gusto. Here’s what you’ll do day-to-day: Lead, manage, and develop a broad AI/MLE organization spanning Machine Learning
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