Staff Software Engineer, Machine Learning Infrastructure

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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 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.