Machine Learning Engineer II

Company Overview

Etsy operates as a global marketplace specializing in unique and creative products. The organization develops and enhances technologies that connect millions of entrepreneurs with buyers worldwide. Employees at Etsy contribute to impactful, large-scale challenges while fostering a respectful commerce environment.

Etsy emphasizes building outstanding teams by hiring talented individuals and providing them with growth opportunities beyond promotions, nurturing an atmosphere of trust and collaboration to enable top performance.

Role Overview

We are seeking a Machine Learning Engineer to join the Search Ads team, focusing on product-driven development and ML innovation in digital advertising to enhance the buyer and seller experience on Etsy.

This role offers the chance to construct user-focused ML systems for a two-sided marketplace comprising over 90 million buyers, more than 6 million sellers, and hundreds of millions of handmade, vintage, and unique listings. The team’s scope includes building machine learning solutions supporting sponsored search products such as retrieval, ranking, ad allocation, and buyer engagement modeling across Etsy's platforms.

Team and Daily Activities

• Collaborate cross-functionally with product and engineering teams, effectively communicating model capabilities and ideas to product managers.
• Leverage contemporary machine learning advancements to enhance ad relevance and boost buyer engagement.
• Prototype, optimize, and transition large-scale ML models into production environments to improve the ad funnel.
• Design and conduct A/B testing to assess the performance of ML models and data pipelines.
• Partner with product managers, ML engineers, and analytics teams to evaluate and refine advertising products.
• Be adaptable, as responsibilities may evolve and encompass additional tasks per company needs or legal requirements.

Candidate Profile

• Proven experience applying statistical and machine learning methods to solve practical problems.
• Expertise in at least one of the following areas: natural language processing, information retrieval, search and recommendation systems, or deep learning.
• Hands-on experience in training, deploying, monitoring, debugging, and iterating production ML systems within search, recommendation, or advertising domains.
• Ability to define requirements and lead projects from conception through delivery.
• Write clear, testable code with a focus on maintainability.
• Strong consideration for the impact of your work on users.

Compensation and Work Location

Alongside a competitive salary determined by location, skills, and experience, employees receive equity packages and performance bonuses. The role is based primarily in Dublin, Ireland, with a hybrid work schedule requiring one to two days per week onsite. Remote candidates outside commuting distance may be considered on a case-by-case basis, with occasional travel expected.

Diversity and Inclusion

Etsy is dedicated to maintaining a diverse and inclusive workplace that supports equitable opportunity regardless of race, ethnicity, gender, age, disability, or any characteristic protected by law. Accommodations during hiring processes are provided upon request.