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# Machine Learning Engineer II, Inventory

- **Company:** Etsy
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $153,000.0 - $199,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, A/B Testing, Computer Vision, Databases, Software Debugging, Machine Learning, Natural Language Processing, SQL Databases, Reinforcement Learning, Scripting, Large Language Models, Deep Learning, Etsy, Machine Learning Operations
- **Published:** May 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us04ce8b636ac6f28d68f655a9eb64c3a3

## About the Role

You collaborate and communicate effectively with teammates and cross-functional partners.
You have a proven track record of using machine learning techniques to solve real-world problems, including expertise in fields such as natural language processing, computer vision, reinforcement learning, deep learning, multi-modal learning, or large language models.
You quickly learn new technologies and strategically integrate them into existing workflows, while also being proficient in databases, SQL, and scripting languages.
You have experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems.
You have successfully taken projects from design to delivery, both independently and as part of a team, and you produce clear, testable, and maintainable code.
You are mindful of the impact your work has on end users.

## Description

How can we help our search and discovery systems more efficiently match buyers to the right inventory? What details differentiate one cutting board from another?
How can we help our sellers list items accurately and efficiently? How can we help our sellers improve their listings, including titles, descriptions, and images?
What are the most important item details that buyers need during shopping? How can we surface that information in a way that helps them make faster, more confident purchasing decisions?
How can we highlight the human effort put into the creation of items on Etsy? How do we identify signals like craftsmanship, quality and uniqueness of our sellers' one-of-a-kind items?
What does the day-to-day look like?
Collaborate with engineering teams to share ideas and discuss model capabilities.
Implement the latest advancements in machine learning to enhance buyer and seller experiences on Etsy.
Develop, optimize, and deploy large-scale machine learning models to achieve key outcomes.
Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users.
Run A/B tests to evaluate the effectiveness of machine learning powered products.
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


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