Software Engineer, AI/ML Infrastructure (US-Based)

About the role

The Machine Learning Infrastructure Team at Thumbtack is responsible for centralizing, standardizing, and evolving AI/ML infrastructure that enables various AI-driven experiences across the company. This includes search, recommendations, matchmaking, pricing, safety, content generation, fraud detection, and more.

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.
• 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.
• 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

• Experience working with machine learning models and tools.
• Knowledge of cloud platforms and services (e.g., AWS, Google Cloud).
• Experience with distributed systems and microservices architecture.
• Understanding of data pipelines and ETL processes.

Skills

• Go and Python programming languages.
• Experience with Kubernetes, Docker, and containerization.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Experience with SQL and NoSQL databases.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.

Benefits

• Competitive compensation package including base salary and performance-based bonuses.
• Health insurance, dental, vision, and wellness programs.
• Paid time off, including vacation, sick leave, and holidays.
• Flexible work arrangements and remote work options.
• Professional development opportunities and access to industry events.
• Employee resource groups and diversity, equity, and inclusion initiatives.

Pay

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. 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.

Schedule

Full-time position.

Benefits

• Health insurance, dental, vision, and wellness programs.
• Paid time off, including vacation, sick leave, and holidays.
• Flexible work arrangements and remote work options.
• Professional development opportunities and access to industry events.
• Employee resource groups and diversity, equity, and inclusion initiatives.

Contact

To apply, please send your resume and cover letter to careers@thumbtack.com. We look forward to hearing from you!