Machine Learning Engineer, Search, Ads & Recommendations

Etsy•New York, NY

1d•$164,000 - $246,000•Hybrid

About The Position

Etsy is seeking Machine Learning Engineers at the Senior and Staff levels to join their Search and Discovery teams, specifically Search Ads, Recommendations Ranking, or Search Retrieval. The role involves building user-centric ML systems for a large-scale marketplace, applying ML innovations to enhance the buyer and seller experience. Engineers will own models end-to-end, from data pipelines to production serving, and validate their impact through A/B experiments. Team placement will be based on individual background, level, and interests. This is a full-time position reporting to the Engineering Manager.

Requirements

A track record of applying statistical and machine learning techniques to real-world problems.
Expertise or experience in one or more of: 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, with modern ML frameworks such as PyTorch or TensorFlow/TFX.
The ability to write and manipulate data at large scale, and to write understandable, testable, maintainable code.
The ability to create requirements and lead your team from design through delivery.
A collaborative, empathetic approach, with clear and constructive communication across disciplines.
Care about the implications of your work on end users.
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.

Responsibilities

Build user-centric ML systems for a two-sided marketplace.
Apply ML innovations (ranking, retrieval, deep learning, reinforcement learning, LLMs, etc.) to improve the Etsy buyer and seller experience.
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.
Work cross-functionally with software engineers, applied scientists, data scientists, product managers, designers, and analytics partners.
Communicate ideas and model capabilities clearly to stakeholders.
Apply the latest advances in machine learning and information retrieval to improve relevance, personalization, and buyer and seller engagement.
Prototype, optimize, and productionize large-scale ML models.
Design and run A/B experiments (online and offline) to validate the effectiveness, efficiency, latency, and buyer impact of ML models and pipelines.
Investigate and resolve nuanced issues in model and system behavior.
Measure and improve products with product and analytics partners.
Work on problems such as 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.