# Senior Software Engineer, ML Enablement

Source: https://realanalystjobs.com/job/senior-software-engineer-ml-enablement-etsy-500fdc8b
Senior Software Engineer, ML Enablement at Etsy, an on-site role based in Brooklyn, New York, USA. Posted on 9 October 2026, read from Etsy's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Etsy has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [Etsy](https://realanalystjobs.com/companies/etsy)
- Location: Brooklyn, New York, USA
- Work mode: On-site
- Posted: Oct 9, 2026
- Employment type: Full time
- Source: Etsy's careers page (Workday), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python)

## Visa sponsorship

The posting does not say.

Etsy had H-1B petitions approved for 31 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/etsy#h1b-record)

## About this role

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, 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?

• Write high-quality, production-grade Python code (additional languages a plus); participate in code reviews and pair programming; contribute 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 ML fundamentals - including neural network deep learning as well as latest transformer architectures along with prediction and inference systems - to make sound infrastructure and design decisions.
• Partner cross-functionally with Applied Scientists to understand model training and serving needs, and translate that understanding into infrastructure that removes friction from their workflows.
• Contribute to system design discussions, weighing tradeoffs across performance, cost, and reliability for infrastructure serving 100M+ users.
• Thoughtfully use generative AI and other productivity tools to work eﬃciently, with a focus on learning and intentional contribution.
• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

• Bachelor's degree in Computer Science, Applied Statistics, Mathematics, Electrical Engineering, or a related quantitative field, or equivalent professional experience.
• 5+ years of professional experience building, iterating on, and troubleshooting complex backend and infrastructure systems.
• Strong software engineering fundamentals, including solid command of algorithms and data structures, with the ability to write production-ready code in Python.
• Hands-on experience with cloud infrastructure (Google Cloud preferred) and Kubernetes, including deploying and operating production workloads.
• Familiarity with observability tooling (metrics, logging, tracing) for monitoring and debugging distributed systems.
• Working knowledge of machine learning fundamentals and concepts, with awareness of LLM serving infrastructure and hosting open-source models.
• Basic understanding of transformer architectures, predictors, and how model design choices affect serving infrastructure.
• Comfort with system design for large-scale, high-availability infrastructure

Compensation & Benefits

In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family. Base salary is determined by your location, skills, and experience.

Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below.

Location

We prioritize candidates based within commutable distance of Etsy’s Brooklyn Office. Depending on proximity, we ask team members t

Description from Etsy's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-software-engineer-ml-enablement-etsy-500fdc8b) and use Apply now there to reach the employer's application. The listing is re-checked against Etsy's careers page daily and removed when it closes.

## Etsy

1 open analyst role on Real Analyst Jobs. [More roles at Etsy](https://realanalystjobs.com/companies/etsy)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-software-engineer-ml-enablement-etsy-500fdc8b)
- [Etsy on Real Analyst Jobs](https://realanalystjobs.com/companies/etsy)
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