Engineering Manager, Machine Learning for Fulfillment - Etsy : Job Details

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Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with buyers worldwide. As an Etsy Inc. employee, you will tackle meaningful, large-scale problems alongside passionate coworkers, making a rewarding impact and Keeping Commerce Human.

Salary Range$226,000.00 - $294,000.00

Role OverviewEtsy seeks an Engineering Manager to lead the machine learning team focused on improving the fulfillment experience for buyers and sellers. You will deliver scalable, robust models tested live on Etsy.com, staying at the forefront of ML innovations. Your team will test new ideas and develop solutions end-to-end, managing the ML lifecycle.

Location & Work ModeCandidates in the US are considered, especially those near Etsy's Brooklyn Office or in the San Francisco Bay Area, with in-office attendance once or twice a week. Etsy offers flexible work modes. Learn more about our policies here.

Team & ResponsibilitiesYou will lead a team of 5-9 ML scientists and engineers, establishing effective processes, hiring, mentoring, and collaborating across disciplines. Your role involves developing ML models for predicting delivery times, personalizing browsing experiences, identifying fulfillment opportunities, leveraging LLMs for product info extraction, and building scalable ML systems.

Daily ActivitiesLeading the ML team, fostering collaboration, improving engineering processes, recruiting, mentoring, and building cross-functional relationships. You will work within our ML platform ecosystem to create scalable solutions.

Ideal Candidate QualitiesHands-on ML experience, team management skills, excellent communication, strategic thinking, and ability to empower your team in a metric-driven environment.

Additional InfoInterested candidates should submit their resumes and optional cover letters. Etsy values diversity and inclusion and is an equal opportunity employer. Accommodations are available for applicants with disabilities. Visa sponsorship is supported where applicable.