Software Engineer (AI/Machine Learning Infrastructure)

Role overview

Join Thumbtack as a Software Engineer (AI/Machine Learning Infrastructure) on the ML Infrastructure team. You’ll work with product and platform engineering teams to build and evolve core AI platform capabilities supporting AI-driven experiences across the Thumbtack ecosystem.

Key missions

• Design, develop, and deploy scalable tools and infrastructure to support applied scientists.
• Collaborate with product and platform engineering teams to build and evolve AI platform capabilities.
• Evaluate next-generation AI infrastructure frameworks and tools to help product teams leverage recent AI advances.

Responsibilities

• Contribute to end-to-end development of ML infrastructure capabilities (design, build, deploy).
• Work hands-on across the stack to support applied-science workflows.
• Use AI-coding tools effectively and critique/refine AI-generated output.

Requirements

• Comfort in a fast-paced environment with ambiguity; ability to learn and adopt new technologies as needed.
• Proficiency in at least one major programming language and ability to work across multiple languages.
• Strong fundamentals in data structures, algorithms, and software design.
• Experience with relational or NoSQL databases, such as Postgres or DynamoDB.
• Bias to action: quickly learn what’s needed and take decisive steps in ambiguous settings.
• 1–3 years of professional software engineering experience.

Nice-to-haves

• Experience working with applied science/ML teams and next-gen AI infrastructure tooling.
• Demonstrated use of AI coding tools in day-to-day workflows.

Preferred/primary stack

• Go and Python