Senior Machine Learning Engineer, Search Ads

Etsy

. Build machine learning systems powering sponsored search, including retrieval, ranking, ad allocation, and user engagement modeling on Etsy.com and the Etsy app .

Posted 9/15/2026full-timeBrooklyn • New York • United StatesSenior💰 $182,000 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing machine learning systems for search and advertising, with a strong focus on natural language processing and user engagement. Proven ability to collaborate cross-functionally and lead teams through the design and delivery of production-ready models.

Highest-signal resume keywords

Machine Learning Systems DevelopmentNatural Language ProcessingStatistical AnalysisA/B TestingCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningInformation RetrievalSearch AlgorithmsModel OptimizationProduction DeploymentStatistical TechniquesCode MaintainabilityUser Engagement ModelingAd Allocation

Soft Skills

CommunicationTeam LeadershipProblem-Solving

Industry Keywords

Sponsored SearchAd EngagementRecommendation SystemsUser ExperienceProduct Engineering

About the role

Key responsibilities & impact

Build machine learning systems powering sponsored search, including retrieval, ranking, ad allocation, and user engagement modeling on Etsy.com and the Etsy app
Work cross-functionally with product engineering teams
Communicate ideas and model capabilities to product managers
Apply advances in machine learning to improve relevance and buyer ad engagement
Prototype, optimize, and productionize large-scale machine learning models
Conduct A/B experiments to validate ML models and pipelines
Collaborate with product managers, ML engineers, and analytics partners to measure and improve the ads product
Report to the Engineering Manager

Requirements

What you’ll need

Track record of applying statistical and machine learning techniques to real-world problems
Expertise in natural language processing, information retrieval, search, recommendations, or deep learning
Experience training, deploying, monitoring, debugging, and iterating on production machine learning systems in search, recommendation, and/or advertising systems
Ability to create requirements and lead a team from design through delivery
Ability to write understandable, testable, and maintainable code
Concern for the implications of work on end users

Benefits

Comp & perks

Equity package
Annual performance bonus
Competitive benefits that support you and your family
Visa sponsorship may be available for certain roles and skills