Software Engineer, AI/ML Infrastructure

Thumbtack, Inc.
San Jose, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$145,400.0 - $188,100.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Continuous Integration Data Structures Amazon DynamoDB Python (Programming Language) PostgreSQL Machine Learning NoSQL Software Engineering AI Infrastructure Backend Programming Languages

Job description

As a Software Engineer on the ML Infrastructure team, you will work closely with product and platform engineering teams to build and evolve core AI platform capabilities. You will help design and improve systems that allow teams to develop, run, and scale GenAI-powered applications in production. Your work will directly support AI-driven experiences used by millions of customers and pros across the Thumbtack ecosystem., * Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Thumbtack.

  • Contribute to the design, development, and deployment of scalable tools and infrastructure to support the efforts of our applied scientists, including traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling.
  • Work hands on across the stack, from backend services and execution infrastructure to integrations with AI models and tooling.
  • Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools that help product teams harness advances in AI.
  • Drive projects to completion with a strong focus on business impact and measurable outcomes.
  • Solve complex technical problems and stay up to date with advances in this rapidly evolving space.

Requirements

  • 1 to 3 years of professional software engineering experience.
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in at least one major programming language, and the ability to work across multiple languages. Our primary stack includes Go and Python.
  • Experience working 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 a certain level of ambiguity, especially when learning and picking up new technologies when projects require it.
  • You operate with a bias to action, quickly learning what is needed and taking decisive steps to move work forward in ambiguous, fast-paced environments.

About the company

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home - from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together., * For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $145,400 - $188,100.

  • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $130,900 - $169,400.
  • For candidates living in all other US locations, the expected salary range for this role is currently $123,300 - $159,500.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Extensibility and programmability features of the PostgreSQL database

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

5:53 min

Choosing relational databases over NoSQL for most workloads

Josip Stuhli Josip Stuhli · World Congress 2026 Europe

3:16 min

Terminology differences between relational and NoSQL databases

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