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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Etsy - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $182,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Automated Storage and Retrieval Systems, Software Debugging, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Scala (Programming Language), Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Information Technology, Multi-objective Optimization, Etsy, Machine Learning Operations, Multiaccess Edge Computing - **Published:** October 10, 2026 - **Apply:** https://www.dice.com/job-detail/54b7d35f-da75-40e7-af78-a7d590ca43c9 ## About the Role 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. ## Description We're hiring Machine Learning Engineers at the Senior and Staff levels to join one of our Search and Discovery teams: Search Ads, Recommendations Ranking, or Search Retrieval. You will build user-centric ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, and vintage listings. We're looking for people who are product- and delivery-driven and passionate about applying ML innovations (ranking, retrieval, deep learning, reinforcement learning, LLMs, and more) to improve the Etsy buyer and seller experience. You'll own models end-to-end, from data and feature pipelines through training, evaluation, and production serving, and validate their impact through live A/B experiments on Etsy.com and the Etsy app. Team placement is based on your background, level, and interests, and will be discussed during the interview process. This is a full-time position reporting to the Engineering Manager of the team you join. What's this team like at Etsy? We apply cutting-edge machine learning, deep learning, and information retrieval techniques to high-impact problems at Etsy scale. Depending on your experience, you may be considered for one of the following teams: Search Ads: Builds the ML systems behind our sponsored search product, including retrieval, ranking, ad allocation, and user engagement modeling. We ensure the right ads reach the right buyers, personalize the ad experience to each buyer's journey, and help sellers get the most from their advertising budgets, all on a pipeline that scales to our 90+ million buyers and sellers. Recommendations Ranking: Develops ML models that understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app. Work includes user modeling, personalized ranking, multi-objective optimization, intent and lifecycle prediction, and keeping feeds fresh and reactive to user actions, emerging trends, and seasonal shifts. Search Retrieval: Builds efficient, scalable, and intelligent retrieval systems that surface the most relevant listings from a catalog of over a hundred million unique items. We combine lexical matching, semantic retrieval, and hybrid models to power the first step inEtsy's search stack, using techniques such as dual-encoder models, vector similarity search, and query expansion. What does the day-to-day look like? Work cross-functionally with software engineers, applied scientists, data scientists, product managers, designers, and analytics partners, and communicate your ideas and model capabilities clearly to each. 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, owning the path from data and feature pipelines through training, evaluation, serving, and monitoring. 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, and measure and improve our products with product and analytics partners. Depending on your team, 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. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.