Senior Machine Learning Engineer II

<p><b>Company Description</b><br/>Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an <a href="http://storage.googleapis.com/etsy-extfiles-prod/2025%20House%20of%20Brands%20One%20Pager.pdf" rel="noopener noreferrer" target="_blank">Etsy Inc. employee</a>, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.</p><p><b>What's the Role?</b></p><p></p><p><span>Etsy is hiring a Senior Machine Learning Engineer II to join the Trust &amp; Safety Content Evaluation team, a machine learning team that supports Etsy's ability to detect policy violations in user-generated content. Our team works to keep Etsy a trusted and safe place for our members, detecting violations in real-time. This position involves developing multiple complex projects, using strong communication skills to work with applied scientists and machine learning engineers. You will also partner with cross-functional stakeholders from different backgrounds and technical levels.</span></p><p></p><p><span>Do you find joy in </span><a href="https://www.etsy.com/codeascraft/machine-learning-in-content-moderation-at-etsy" rel="noopener noreferrer" target="_blank"><u>solving difficult problems</u></a><span> in machine learning involving distributed systems, varied data sources, and multiple collaborators? This is a fantastic opportunity for someone interested in developing systems that will support Etsy's safety for years to come, evaluating hundreds of millions of unique, handmade, vintage listings.</span></p><p></p><p><span>This is a full-time position reporting to the Senior Manager of Engineering, Content Evaluation. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our</span><a href="https://storage.googleapis.com/etsy-extfiles-prod/Benefits%20One%20Pagers%20-%20Employer%20Brand/ETSY2023BENEFITSLANDINGPAGE.pdf" rel="noopener noreferrer" target="_blank"><span> </span><u>competitive benefits</u></a><span> that support you and your family as part of your total rewards package at Etsy.</span></p><p></p><p><span>This role requires your presence in Etsy’s Dublin office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of our Dublin office, may be the first to be considered. Learn more details about our  work modes and workplace safety policies </span><a href="https://careers.etsy.com/how-and-where-we-work" rel="noopener noreferrer" target="_blank"><u>here</u></a><u>.</u></p><p></p><p><b>What’s this team like at Etsy?</b></p><ul><li><p><span>The Content Evaluation squad within Trust &amp; Safety Product Engineering works to automatically remove dangerous and risky member-generated content from our marketplaces</span></p></li><li><p><span>We work closely with other Trust &amp; Safety partners in Product, Design, Engineering and Operations, as well as with our Machine Learning Enablement, Inventory and Quality engineering teams.</span></p></li><li><p><span>This year, we are focusing on ensuring the safety of conversations between our sellers and buyers, and on building models to understand the role sellers have in the production of their products. In other words we build the foundational trust that ‘makes Etsy Etsy’  </span></p></li></ul><p></p><p><b>What does the day-to-day look like?</b></p><ul><li><p><span>Prototype, optimize, and scale large-scale multimodal ML models to improve precision and recall of our evaluations core business metrics.</span></p></li><li><p><span>Work with state of the art LLM / genAI techniques to drive innovation in Trust &amp; Safety.</span></p></li><li><p><span>Track cutting-edge ML research and bring back ideas we can actually use to build smarter, faster, and more impactful solutions.</span></p></li><li><p><span>Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale.</span></p></li><li><p><span>Leverage existing ML infrastructure and partnerships with platform teams to build scalable and modular ML systems</span></p></li><li><p><span>Design and implement experiments (Hypothesis testing, A/B testing etc.) to measure marketplace effects </span></p></li><li><p><span>Coach and train junior team members</span></p></li><li><p><span>Work closely with product managers, ML engineers, full-stack engineers, and designers to measure and improve our ads marketplace while driving value to our sellers </span></p></li><li><p><span>Collaborate with Product, Design, Research, Analytics, and others to craft plans that achieve our business goals, while delivering new evaluation and classification systems to match our evolving policy needs</span></p></li><li><p><span>Of course, this is just