Remote Staff Software Engineer, Machine Learning Infrastructure
Thumbtack
π΅ $202k-$308k
πRemote - United States
Please let Thumbtack know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join us as a Principal ML Infrastructure Engineer and drive the technical vision and strategic direction of Thumbtack's machine learning platform.
Requirements
- 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
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
Benefits
- 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
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