Staff Machine Learning Engineer II, Content Evaluation

Company Description 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 Etsy Inc. employee , whether a team member of Etsy, Reverb, 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. What’s the role? Etsy is hiring a Staff Machine Learning Engineer to join the Trust & 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. Do you find joy in solving difficult problems 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. 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 competitive benefits that support you and your family as part of your total rewards package at Etsy. 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 here . What’s this team like at Etsy?

• The Content Evaluation squad within Trust & Safety Product Engineering works to automatically remove dangerous and risky member-generated content from our marketplaces.
• We work closely with other Trust & Safety partners in Product, Design, Engineering and Operations, as well as with our Machine Learning Enablement engineering teams.
• This year, we are working to reduce the visibility of dangerous or risky items from our biggest marketplace, Etsy.com.

• Prototype, optimize, and productionize large-scale ML models to improve the quality of our evaluations and drive core business metrics for Trust & Safety at Etsy
• Design and implement experiments (Hypothesis testing, A/B testing etc.) to measure marketplace effects 
• Coach and train junior team members
• Work closely with product managers, ML engineers, full-stack engineers, and designers to measure and improve the quality of our marketplace via real time detection of non-compliant inventory and spammy conversations
• Collaborate with Product, Design, Research, Analytics, and others to craft plans that translate our business goals in technology solutions
• Be a technology leader to drive improvements in the Etsy ML and MLOps environment
• 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

• You have a track record of applying statistical techniques in addressing real-world problems.
• You are an expert in one of the following fields: text classification, LLMs, image classification, visual text search, optimization, forecasting, reinforcement learning, human-in-the-loop. 
• You habitually communicate your work to stakeholders, and participate in company / industry forums.
• You are an experienced tech leader, you have experience training, deploying, monitoring, debugging and iterating on production machine learning systems.
• You can successfully create requirements and lead your team from design through to delivery.
• You write understandable, testable code and you have an eye towards maintainability.
• You care about the implications of your work on end users.
• You value working with people who are curious, enthusiastic, generous, and responsible.
• You have experience with coding languages such as Python/SQL, deep learning frameworks such as pytorch and/or Tensorflow, workflow management tools such as Airflow, and cloud platforms such as GCP/Azure/AWS.