Software Engineer, AI/ML Infrastructure at Thumbtack

Thumbtack

Remote, Ontario·8h ago

Mid LevelFull-timePythonAWSMachine LearningCI/CDGoAIML

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Software Engineer to join the Machine Learning Infrastructure team at Thumbtack. You will work on building and evolving core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Thumbtack.

Key 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.
→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.
→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.