Senior Machine Learning Engineer I

Etsy is hiring a Senior Machine Learning Engineer to build and deploy machine-learning systems for its Inventory team. The role focuses on improving buyer and seller experiences through large-scale models, experimentation, and cross-functional product delivery.

Responsibilities:

• Lead the creation of engineering plans to address challenging problems by breaking down complex tasks into manageable components, and identifying/estimating milestones
• Mentor junior team members to help them produce high-quality code and machine learning solutions
• Collaborate with engineering teams to share ideas and discuss model capabilities with product managers
• Implement the latest advancements in machine learning to enhance buyer and seller experiences on Etsy
• Develop, optimize, and deploy large-scale machine learning models to achieve key outcomes
• Run A/B tests to evaluate the effectiveness of machine learning powered products
• Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users
• 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
• 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

Requirements:

• You collaborate and communicate effectively with teammates and cross-functional partners
• You can develop project plans that span multiple teammates, squads, and systems and can lead their implementation
• You have a proven track record of using machine learning techniques to solve real-world problems, including expertise in fields such as natural language processing, image processing, reinforcement learning, deep learning, multi-modal learning, or large language models
• You quickly learn new technologies and strategically integrate them into existing workflows, while also being proficient in databases, SQL, and scripting languages
• You have experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems, demonstrating your ability to apply statistical techniques to real-world challenges
• You have successfully taken projects from design to delivery, both independently and as part of a team, and you produce clear, testable, and maintainable code
• You are mindful of the impact your work has on end users