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Senior Software Engineer, Machine Learning Infrastructure Specialist
1 month ago
About the Role
As a Senior Software Engineer focused on ML Infrastructure, you will be responsible for bringing Thumbtack's ML Infrastructure vision to life. You will collaborate with engineers, applied scientists, and product managers across engineering to refine and execute on our shared vision for generative AI, feature platforms, model deployment, and model monitoring.
Responsibilities
- Collaborate with engineers, applied scientists, and product managers to identify shared ML infrastructure needs across areas like feature engineering, model experimentation, model inference & CI/CD, generative AI, and model monitoring.
- Build, maintain, and communicate our roadmap.
- Centralize and standardize ML infrastructure & associated best practices for product teams across engineering.
- Experiment with and introduce next-generation ML infrastructure capabilities and frameworks so product teams can continue to harness the power of open source / vendor-driven advances in machine learning.
- Drive projects to completion with a tenacious focus on the business impact of those projects.
- Solve tough technical problems and stay up-to-date with the latest advances in this constantly evolving problem space.
Requirements
- 5+ years of industry experience in engineering.
- 2+ years of industry experience working on machine learning modeling or infrastructure.
- Fluency in at least one major programming language and ability to switch between multiple languages.
- Experience building software on top of relational databases such as Postgres or MySQL.
- Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver great, impactful products.
- Curiosity, data-driven approach, love to ask questions, and critical thinking.
- Delivering value to users and teammates through work.
Bonus Points
- Experience building and evolving machine learning infrastructure.
- Experience working with frameworks like PyTorch, Tensorflow, Scikit-learn, and Airflow.
- Experience with generative AI infrastructure and vendors.
- Experience building and maintaining reliable, performant distributed systems.
- Familiarity with major cloud providers and/or the big data ecosystem.
- Able to thrive in a fast-paced startup environment.
Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada, or the Philippines. Learn more about our virtual-first working model.
Benefits & Perks
- Virtual-first working model coupled with in-person events.
- 20 company-wide holidays including a week-long end-of-year company shutdown.
- Libraries (optional use collaboration & connection hubs) in San Francisco and Salt Lake City.
- WiFi reimbursements.
- Cell phone reimbursements (North America).
- Employee Assistance Program for mental health and well-being.
