Scala Senior Software Engineer , Machine Learning, ML Enablement

Position: Scala Senior Software Engineer I, Machine Learning, ML Enablement
Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together.

What’s the role?

We are looking for a Senior Software Engineer 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.

We are looking for a Senior Software Engineer 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 role reporting to the 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, maintains and manages the platform that heps with 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 using our Machine Learning systems in effective and creative ways.

What does the day-to-day look like?

Write high-quality, production-grade Python code (additional languages a plus); participate in code reviews and pair programming; supply to and help drive architectural decisions.

Build, operate, and improve infrastructure for training and serving ML models on GCP and Kubernetes, with a focus on scalability, reliability, and observability.

Design and maintain serving infrastructure for open-source and internally hosted LLMs, including model deployment, resource management, and performance tuning.

Apply working knowledge of…