Senior Software Engineer, Machine Learning Infrastructure

About the Role

As a Senior Software Engineer focused on ML Infrastructure, you’ll focus on bringing the Thumbtack’s ML Infrastructure vision to life. You’ll 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. This could include introducing the latest feature engineering & model building frameworks, creating a standardized process for model deployment and monitoring, working with the data platform team on evolving feature storage, or working with applied scientists on productization of complex models.

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.
• When appropriate, 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.

What you'll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Bonus points if you have

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.

LI-remote

Benefits & Perks

Learn