Senior Machine Learning Engineer I, Inventory

Etsy•Brooklyn, NY

2d•Hybrid

About The Position

Etsy is hiring a Senior Machine Learning Engineer to join its Inventory team, which develops custom machine-learning models that support product vision and customer impact. The role works with engineers, machine learning scientists, product managers, and partners across functions to improve the shopping experience for buyers and the selling experience for sellers. The work includes building machine-learning systems for a two-sided marketplace with more than 90 million buyers, over 6 million sellers, and hundreds of millions of unique listings. The team works on improving seller listings, including titles, descriptions, and images; identifying product issues from reviews; supporting new sellers with listing best practices; and turning these insights into meaningful product improvements. The role is full-time and reports to the Engineering Manager. The position is prioritized for candidates within commuting distance of Etsy’s Brooklyn office, with in-office attendance once or twice weekly depending on proximity. Remote candidates outside commuting distance may be considered case by case, with occasional office travel expected. Salary varies by location: Geo-1 is $182,000–$246,000 annually, and Geo-2 is $164,000–$222,000 annually. The position is also eligible for equity, an annual performance bonus, and competitive benefits supporting employees and their families.

Requirements

Collaborate and communicate effectively with teammates and cross-functional partners.
Develop project plans spanning multiple teammates, squads, and systems, and lead their implementation.
Have a proven track record using machine-learning techniques to solve real-world problems.
Have expertise in one or more fields such as natural language processing, image processing, reinforcement learning, deep learning, multimodal learning, or large language models.
Learn new technologies quickly and strategically integrate them into existing workflows.
Be proficient in databases, SQL, and scripting languages.
Have experience training, deploying, monitoring, debugging, and iterating on production machine-learning systems.
Demonstrate the ability to apply statistical techniques to real-world challenges.
Have successfully taken projects from design to delivery, independently and as part of a team.
Produce clear, testable, and maintainable code.
Be mindful of the impact of work on end users.

Responsibilities

Lead engineering plans for challenging problems by breaking complex work into manageable components and identifying and estimating milestones.
Mentor junior team members to help them produce high-quality code and machine-learning solutions.
Collaborate with engineering teams to share ideas and discuss model capabilities with product managers.
Implement modern machine-learning advancements to improve buyer and seller experiences.
Develop, optimize, and deploy large-scale machine-learning models to achieve key outcomes.
Run A/B tests to evaluate machine-learning-powered products.
Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users.