Machine Learning Engineer, Search, Ads & Recommendations

Etsy

. Build user-centric machine learning systems for Etsy’s two-sided marketplace .

Posted 10/9/2026full-timeBrooklyn • New York • United StatesJuniorMid-Level💰 $182,000 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing large-scale machine learning systems, with a strong focus on information retrieval, personalization, and A/B testing methodologies. Proficient in collaborating cross-functionally to drive model development and deployment in a dynamic marketplace environment.

Highest-signal resume keywords

Machine Learning EngineeringInformation RetrievalDeep LearningProduction ML SystemsPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningInformation RetrievalStatistical TechniquesA/B TestingModel TrainingModel EvaluationData ManipulationLarge-Scale SystemsMulti-Modal Learning

Soft Skills

Cross-Functional CollaborationTeam LeadershipProblem SolvingCommunication

Tools & Technologies

PyTorchTensorFlowJavaScalaML Frameworks

Certifications & Qualifications

M.S. in Computer SciencePh.D. in Computer Science

Industry Keywords

E-commercePersonalizationRecommendationsSearchAds

Tech Stack

Tools & technologies

JavaPythonPyTorchScalaTensorflow

About the role

Key responsibilities & impact

Build user-centric machine learning systems for Etsy’s two-sided marketplace
Own models end-to-end, from data and feature pipelines through training, evaluation, and production serving
Validate model impact through live A/B experiments on Etsy.com and the Etsy app
Apply machine learning, deep learning, and information retrieval techniques to improve relevance, personalization, and buyer and seller engagement
Prototype, optimize, and productionize large-scale ML models
Design and run online and offline A/B experiments
Investigate and resolve nuanced issues in model and system behavior
Measure and improve products with product and analytics partners
Work cross-functionally with software engineers, applied scientists, data scientists, product managers, designers, and analytics partners
Depending on team placement, develop retrieval and ranking for sponsored search, ad allocation, user modeling, personalized ranking, multi-objective optimization, intent prediction, dual-encoder and hybrid retrieval, and large-scale indexing and serving
Report to the Engineering Manager of the assigned team

Requirements

What you’ll need

Senior or Staff-level Machine Learning Engineer experience
Track record applying statistical and machine learning techniques to real-world problems
Expertise or experience in information retrieval, search, recommendations, ads, natural language processing, deep learning, multi-modal learning, or reinforcement learning
Hands-on experience training, deploying, monitoring, debugging, and iterating on production ML systems in search, recommendation, and/or ads
Production experience building large-scale ML systems in Python, Java, Scala, or similar languages
Experience with modern ML frameworks such as PyTorch or TensorFlow/TFX
Ability to write and manipulate data at large scale
Ability to write understandable, testable, and maintainable code
Ability to create requirements and lead a team from design through delivery
M.S. or Ph.D. in Computer Science or a related engineering field with at least two years of practical machine learning experience, or equivalent experience
Candidates should be based within commutable distance of Etsy’s Brooklyn office, or may be considered remotely outside that distance with occasional office travel

Benefits

Comp & perks

Equity package
Annual performance bonus
Competitive benefits supporting employees and their families
Visa sponsorship may be available for certain roles and skills
Hybrid work arrangement with office attendance once or twice per week depending on proximity
Remote candidates outside commuting distance may be considered with occasional travel to the office