Senior Software Engineer, ML Enablement

What’s the role? We are looking for a Senior Software Engineer, Machine Learning to help build and operate the infrastructure that trains, hosts, and serves Etsy's machine learning models — including our internal serving platform, and a growing portfolio of predictive and generative (open source LLM) models.

You won't just be deploying models; you'll be architecting the systems that make model serving fast, reliable, and scalable for millions of inferences per second. Your work directly enables Applied Scientists and Engineers across Etsy to train, host, and iterate on models with confidence, from classic ML predictors to large open-source language models.

This is a full-time position in ML Enablement team, reporting to its Engineering Manager.

What’s this team like at Etsy?

• The Machine Learning Enablement initiative builds the core infrastructure that turns complex ML workflows into seamless, self-service platforms for Etsy’s Applied Scientists and Engineers.
• The Models Training and Serving Platform team builds and operates the core infrastructure that powers model training and serving across Etsy, including Barista, our internal model-serving platform, along with a range of hosted modelsets and open-source LLMs.
• We own the path from a trained model to a production-ready, observable, and scalable serving endpoint — spanning infrastructure, deployment tooling, and reliability.
• We work on significant, complex challenges that intersect multiple critical teams and systems, where you can make a rewarding impact.
• We are light on process and heavy on collaboration, working with many partner teams within our org and beyond in order to improve our leverage.
• We are a platform team with a product driven mentality, driving innovation usingour Machine Learning systems in effective and creative ways.

What does the day-to-day look like?

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