Senior Machine Learning Engineer II, Search Relevance

We are looking for a Senior Machine Learning Engineer II, Search Relevance to join the Search team at Etsy. We develop efficient, state‑of‑the‑art, large‑scale search models that sift through a universe of over a hundred million special, extraordinary items to help Etsy buyers find something they will love. In this team, you will closely follow the latest research and implement its best ideas efficiently, at scale for the benefit of Etsy's buyers. Working hands‑on with a cross‑disciplinary team, you will deliver robust production models that will be A/B tested live on Etsy.com. Does helping people find the perfect handmade or vintage good from using the latest ML research sound exciting to you? If so, we could be the perfect match. This is a full‑time position in the Search Relevance initiative. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in‑office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What’s this team like at Etsy? The Search Relevance initiative is an ML team that strives to improve the relevancy of search results for Etsy buyers. We apply the latest techniques from machine learning, natural language processing, and information retrieval research at Etsy’s scale. Here is a taste of some of the problems we are solving: Use the latest in machine learning and information retrieval to improve our search pipelines Use concepts such as graph neural networks, random walk‑based graph recommendation engines, deep neural dense retrieval models powered by Transformers, and more to advance the state of the search retrieval pipeline Work closely with fellow ML engineers, full‑stack engineers, applied scientists, and product managers in cross‑functional teams to develop and test large‑scale experiments Optimize ML models to meet latency SLAs at the scale of Etsy production traffic and launch live A/B experiments to test our hypotheses What does the day‑to‑day look like? You will work in a cross‑functional team to prioritize projects that help achieve our product targets You will build, deploy, test, and maintain scalable machine learning models by applying the latest concepts in research and industry You will run various A/B experiments to improve search relevance You will work closely with our product manager to help build roadmaps ranging between a few weeks to 6–12 months Of course, this is just a sample of the kinds of work this role will require. You should assume that your responsibilities may change from time to time at Etsy’s discretion, or otherwise applicable with local law Qualities that will help you thrive in this role are: You have experience developing impactful solutions to machine learning & NLP problems involving the full pipeline: data extraction, model development and training, and integrating models into production applications You have experience building scalable solutions that cater to global customer needs, taking localization into account You have strong engineering and coding skills, with the ability to write high‑quality production code. Proficiency in Python, Scala, Java, and/or other equivalent languages is required You have experience working with machine learning frameworks and technologies such as TensorFlow/TFX, PyTorch, and Kubeflow You turn ideas into deeply reliable and well‑tested code that other people—and you, six months into the future—will find easy to comprehend and modify You are a mindful, empathetic, and communicative member of your team You have continuous and recent experience of pushing production‑level machine learning code What’s Next If you’re interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you’d like. We value individuality and encourage you to express what makes you unique. #J-18808-Ljbffr Etsy