Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.
At Thumbtack, we're solving complex technical challenges across search, ranking, recommendations, pricing optimization, and spam detection. Our ML Infrastructure team leads the architectural vision and implementation of enterprise-wide machine learning capabilities, enabling teams to effectively experiment with and deploy ML models at scale. We're building next-generation infrastructure that powers Thumbtack's AI-first future. For insights into our engineering challenges, visit our engineering blog.
The challengeAs a Staff ML Infrastructure Engineer, you'll drive the technical vision and strategic direction of Thumbtack's machine learning platform. You'll architect solutions that democratize ML capabilities across the organization while establishing best practices and technical standards. Working closely with senior leadership, you'll shape our technical roadmap for generative AI adoption, feature platform evolution, and ML operational excellence.
What you'll do- Define and drive the technical vision and architecture for Thumbtack's next-generation ML infrastructure
- Lead cross-functional initiatives spanning engineering, data science, and product teams to build scalable, enterprise-grade ML systems
- Architect and oversee implementation of critical ML infrastructure components including model serving systems and RAG systems that can scale.
- Establish technical standards and best practices for ML engineering across the organization
- Mentor and provide technical leadership to engineering teams on ML infrastructure best practices
- Partner with senior leadership to align ML infrastructure capabilities with business objectives
- 8+ years of engineering experience with significant focus on distributed systems
- 4+ years of hands-on experience building ML infrastructure or ML platforms at scale
- Deep expertise in at least one major programming language; proficiency in our core stack (Go, Python) preferred
- Proven track record of technical leadership on complex, cross-functional projects
- Strong architectural skills with experience designing scalable, reliable distributed systems
- Deep understanding of ML workflows, common frameworks, and operational challenges
- Experience mentoring teams and driving engineering excellence
- Track record of making strategic technical decisions with organization-wide impact
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Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.
Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: [email protected].
If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/ .
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