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Software Engineer; AI​/Machine Learning Infrastructure

Remote / Online - Candidates ideally in
Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Thumbtack
Full Time, Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (AI/Machine Learning Infrastructure)
  • 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
Benefits
  • Parental leave
  • Health insurance
  • Community matters | Sure, our ways of connecting have changed. But we haven’t missed a beat, from virtual concerts to “TTversary” celebrations to weekly catch-ups
  • Always be improving | We bring out the best in our colleagues — and our product — by pushing each beyond what we believe we’re capable of. We give honest feedback, even when it’s hard
  • Wellness is a way of life | We promote balance with generous PTO and company-wide holidays — and find our centers every Wellness Wednesday with yoga featuring a Thumbtack pro
  • A worthy mission | In a world where tech is often seen as eroding good jobs, we’re helping small business owners thrive. Our product makes entrepreneurship accessible to everyone
  • Driven by our values | Our values are the compass by which we make all our decisions. Each one matters:
    Lead with why, Make it count, Own it, Choose teamwork, and Say what you mean
  • Plus, amazing benefits | All the benefits you’d expect, plus a few more: generous parental and fertility benefits, $1800 for Thumbtack services per year and a $1200 remote work stipend
  • Virtual-first working model coupled with quarterly in-person events and Camp Thumbtack
  • 20+ company-wide holidays including two week-long shutdowns
  • Libraries (collaborative work spaces) in San Francisco, Salt Lake City, Toronto, and Manila
  • Cell phone and WiFi reimbursements
  • Subscriptions and Employee Assistance Program for mental health and well-being

At least 2 years of professional software engineering experience

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 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 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

Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Experience working with relational or No

SQL databases such as Postgres or DynamoDB

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