Etsyposted 14 days ago
$226,000 - $294,000/Yr
Full-time • Manager
New York, NY
General Merchandise Retailers

About the position

Etsy is seeking an Engineering Manager to establish and lead a new machine learning team that is improving the buying experience on our marketplace. You'll help deliver robust, scalable production models that will be A/B tested live on Etsy.com. Staying at the forefront of the ML field, you'll bring its best ideas to life for millions of Etsy shoppers. Your team will test new ideas, and pioneer solutions from the ground up, being responsible for the end-to-end ML lifecycle.

Responsibilities

  • Help to build a new ML team within the context of product engineering, establishing effective process that increases collaboration across disciplines
  • Lead a fast paced, data-driven, and agile team of 4-7 machine learning scientists and engineers to build systems that measurably improve the buying experience in close partnership with product teams
  • Take part in the end-to-end recruiting process, hiring and on-boarding exceptional engineering talent
  • Serve as a coach, mentor, and advocate for the engineers on your team
  • Work with other leaders within engineering to develop and evolve engineering processes and standard methodologies
  • Establish strong cross-functional relationships with product engineers, product managers, user researchers, designers, analysts as well as platform, data, and infrastructure teams
  • Leverage established tools built by our ML platform teams and help create new paved paths within product engineering context

Requirements

  • Strong hands-on experience in Machine Learning, including high-volume data processing, model deployment, and best practices
  • Proven ability to lead teams with applied scientists and machine learning engineers
  • Experience working within a product engineering context to build end-to-end systems with non-ML teams
  • Excellent written and oral communication skills for effective collaboration with cross-functional teams (Design, Product, Analytics)
  • Experience in shaping team processes for efficient delivery and contributing to technical strategy and an ability to promote high-quality technical decision-making and empower engineers
  • Experience coaching and mentoring engineers through significant career achievements
  • A strong understanding of how to apply team processes efficiently to maximize productivity
  • Comfort and proficiency in an environment that emphasizes experimentation and data-driven decisions

Benefits

  • Equity package
  • Annual performance bonus
  • Competitive benefits that support you and your family
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