Software Engineer, AI/ML Infrastructure

🕒 July 28

🌐 Canada, Philippines, +1 more countries – Remote

infoinfo

💵 $123.3k - $159.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

Where this job comes from

Posted on Thumbtack's careers page, not through a job board

First seen by Remote Rocketship July 28

Still open on Thumbtack's site. Checked 7 hours ago.

Logo of Thumbtack

Thumbtack

1001 - 5000 employees

👥 B2C

🏪 Marketplace

B2C • Marketplace • Home Services

Thumbtack is a platform that connects people with local professionals offering various services such as home improvement, repair, and cleaning. Users can search for specific services like house cleaning, handyman work, electrical and wiring repair, and more, getting access to trusted professionals with reviews and cost estimates. The platform is designed to make finding, hiring, and working with professionals simple and efficient, with the convenience of managing everything from one app. It serves millions of people across the U. S. , providing a wide range of services including landscaping, event planning, and more.

📋 Description

• Build and evolve core AI platform capabilities for developing, running, and scaling AI-powered applications • Design, develop, and deploy scalable tools and infrastructure supporting applied scientists • Develop traditional ML model training and serving systems • Build feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling • Work across the stack from backend services and execution infrastructure to AI model and tooling integrations • Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools • Drive projects to completion with focus on business impact and measurable outcomes • Solve complex technical problems and stay current with advances in AI infrastructure

🎯 Requirements

• At least 2 years of professional software engineering experience • Strong fundamentals in data structures, algorithms, and software design • Proficiency in at least one major programming language and ability to work across multiple languages • Primary stack includes Go and Python • Experience with relational or NoSQL databases such as Postgres or DynamoDB • Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output • Comfort operating in a fast-paced environment with ambiguity • Bias to action and ability to learn new technologies quickly • Required resume • Required phone number • Required LinkedIn profile

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