Thumbtack

Posted 2024-11-07

📍 United States, Canada, Philippines

🧭 Full-Time

💸 202300 - 308000 USD per year

🔍 Home services platform

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.

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.

LeadershipPythonMachine LearningPyTorchStrategyData scienceGoTensorflowMentoring

Posted 2024-11-07

Posted 2024-10-19

📍 Canada, United States, Philippines

🔍 Home services, technology

Expert knowledge of machine learning techniques for search, ranking, and matching problems.
Experience with NLP techniques, including modern LLM designs and tools.
Proficiency in Python for coding and debugging.
Good knowledge of probability and statistics, including experimental design, optimization, and causal inference.
Experience with technical mentorship of other applied scientists.
Demonstrated ability to create technical roadmaps and lead execution.
Ability to analyze complex problems and understand tradeoffs for impactful projects.
Strong communication skills for engaging with cross-functional partners.

Initiate and drive applied science initiatives to completion, focusing on business impact.
Architect and deploy machine learning systems and algorithms to production.
Design and execute experiments, collect and analyze data to characterize products and marketing.
Collaborate with engineers, data scientists, and economists using sound statistical practices.
Maintain a balance between speed of execution and scientific rigor.
Provide technical mentorship to other applied scientists.

PythonData AnalysisMachine LearningAlgorithmsData analysisCollaboration

Posted 2024-10-19

🔧 Requirements