Thumbtack
Posted 122 days agoVerified live 2d ago
Software Engineer, AI/ML Infrastructure (US-Based)
Brief overview
United StatesIn-person
$145k–$188k/yrStated range
1+ yrsMinimum
89 H-1B approvalsDept. of Labor
25 green cardsCertified filings
Professional software engineering experienceData structuresAlgorithmsSoftware designProficiency in Go and PythonWorking across multiple programming languagesExperience with PostgresExperience with DynamoDBUsing AI coding tools in workflowsValidating AI-generated codeCritiquing AI-generated codeRefining AI-generated codeOperating in fast-paced environmentsLearning new technologies quicklyBias to actionSolving complex technical problems
About the company
Thumbtackthumbtack.com
Thumbtack is a home services website connecting users with local service providers.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.89H-1B approved
100%approval rate
10new H-1B hires
25PERM certified
$189,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202325
202431
202523
202610
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20239
20246
20258
20266
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202315
20246
20252
20262
Top sponsored roles
Software EngineerApplied ScientistData Scientist, ProductSenior Data Engineer, Marketing TechDirector, Trust and Safety Proactive and Policy
Sponsored employees from
IndiaVietnamSpainChinaTurkey
Job description
Summary
Thumbtack helps millions of people confidently care for their homes. They are seeking a Software Engineer on the ML Infrastructure team to build and evolve core AI platform capabilities that enable teams to develop and scale GenAI-powered applications across the Thumbtack ecosystem.
Responsibilities
- 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
Skills
- 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
Qualifications
Must Haves
- 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
