Staff Software Engineer, AI/ML Infrastructure

Job not on LinkedIn

🔥 0 minutes ago

🌐 Canada, United States, +1 more countries – Remote

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💵 $212.5k - $275k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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Logo of Thumbtack

Thumbtack

1001 - 5000 employees

🏪 Marketplace

☁️ SaaS

💰 $75M Debt Financing - Thumbtack on 2024-07

Marketplace • SaaS

Thumbtack is an online marketplace that connects homeowners with local service professionals for home maintenance, repairs, remodeling, and other home projects. The platform lets customers describe projects in their own words, browse local pros across many trades (e. g. , cleaners, handymen, plumbers, electricians, painters, HVAC, contractors, landscapers), view reviews and cost estimates, message pros without sharing contact details until messaging, and offers a guarantee up to $2,500 if a job isn't done as agreed. Thumbtack provides consumer-facing apps and a separate pro-focused experience with resources, community, and tools for professionals to manage leads and reviews. It covers every county in the U. S. and emphasizes project guides, cost guides, and home maintenance plans.

📋 Description

• Build and evolve core AI platform capabilities for GenAI-powered applications • Design, develop, and deploy scalable tools and infrastructure for applied scientists • Support ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling • Work hands-on across backend services, execution infrastructure, AI models, and tooling • Evaluate next-generation AI infrastructure frameworks and tools • Drive projects to completion with focus on business impact and measurable outcomes • Set technical direction across AI/ML and AI evaluation platforms • Partner with applied scientists, product engineering teams, senior engineers, and engineering leadership • Define multi-quarter roadmaps and make build/buy/adopt decisions • Ensure the platform scales with Thumbtack's AI ambitions • Solve complex technical problems and stay current with advances in AI infrastructure

🎯 Requirements

• 10+ years of professional software engineering experience • Track record of technical leadership at staff level or equivalent scope • Experience setting direction for systems spanning multiple teams and driving them through production • 3+ years building AI/ML infrastructure in production • Hands-on experience with LLM-powered systems in production • Experience with LLM gateways or proxies, prompt and model lifecycle management, RAG or agentic architectures, and cost optimization for LLM workloads • Experience building or operating AI evaluation systems • Experience with offline evaluation pipelines, LLM-as-judge approaches and calibration against human judgment, regression testing, or A/B measurement of AI features • Deep experience designing, building, and operating reliable distributed systems • Production service ownership at meaningful scale • On-call responsibility and incident leadership • Demonstrated ability to use AI coding tools and validate, critique, and refine AI-generated output

🏖️ Benefits

• Equal opportunity workplace • Reasonable accommodation for individuals with disabilities

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