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Staff Software Engineer, Machine Learning InfrastructureWork180 • California, Maryland, United States
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Staff Software Engineer, Machine Learning Infrastructure

Work180
  • US
    California, Maryland, United States
  • US
    California, Maryland, United States
Jetzt Bewerben

Über

A home is the biggest investment most people make, and yet, it doesn’t come with a manual. That's why we’re building the only app homeowners need to effortlessly manage their homes — knowing what to do, when to do it, and who to hire. With Thumbtack, millions of people care for what matters most, and pros earn billions of dollars through our platform. And as one of the fastest-growing companies in a $600B+ industry — we must be doing something right.
We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. We’re seeking people who continually put our purpose first: advocating for pros and customers, embracing change, and choosing teamwork every day.
At Thumbtack, we're creating a new era of home care. If making an impact and the chance to do good inspires you, join us. Imagine what we’ll build together.
Thumbtack by the Numbers
Available nationwide in every U.S. county
Over 85 million projects started on Thumbtack
More than 11 million 5-star reviews and counting
Pros earn billions on our platform
1000+ employees
$3.2 billion valuation (June, 2021)
About the Machine Learning Infrastructure Team 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.
Challenge As 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.
Responsibilities
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
What you’ll need If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
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
Bonus points if you have
Experience building AI platforms that support hundreds of models in production
Deep expertise with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools
Experience implementing generative AI capabilities at enterprise scale
Track record of building high‑performing technical teams
Expertise with cloud‑native architectures and major cloud providers (AWS, GCP)
Experience driving technical strategy at fast‑growing technology companies Thumbtack is a virtual‑first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual‑first working model here.
#LI-Remote
Benefits & Perks
Virtual‑first working model coupled with in‑person events
20 company‑wide holidays including a week‑long end‑of‑year company shutdown
Library (optional use collaboration & connection hub) in San Francisco
WiFi reimbursements
Cell phone reimbursements (North America)
Employee Assistance Program for mental health and well‑being
Learn More About Us
Life @ Thumbtack Blog
Virtual-First is Here to Stay
Follow us on LinkedIn
Meet Our Pro Advisory Board
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: recruitingops@thumbtack.com.
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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  • California, Maryland, United States

Sprachkenntnisse

  • English
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