Machine Learning Engineer II, Inventory

Etsy•New York, NY

7d•Hybrid

About The Position

Etsy is hiring a Machine Learning Engineer II to join the Inventory team. This is a cross-functional group of engineers, machine learning scientists, designers, and product managers. As an engineer on this team, you will play a major role in improving the shopping experience for millions of Etsy buyers and the selling experience for millions of Etsy sellers. The role focuses on deepening the understanding of Etsy’s diverse inventory to enhance the platform experience for both buyers and sellers. This is a full-time position reporting to the Engineering Manager, Inventory. Etsy is considering candidates based in the United States, with candidates living within commutable distance of Etsy’s Brooklyn Office Hub being considered first. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of their team.

Requirements

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.
Quickly learn new technologies and strategically integrate them into existing workflows.
Proficient in databases, SQL, and scripting languages.
Experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems.
Successfully taken projects from design to delivery, both independently and as part of a team.
Produce clear, testable, and maintainable code.

Nice To Haves

Collaborate and communicate effectively with teammates and cross-functional partners.
Mindful of the impact your work has on end users.

Responsibilities

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.