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 employee whether a team member of Etsy, Reverb, Depop, or Elo7 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?
We are looking for a Senior Applied Machine Learning Scientist in the Marketplace Optimization team to help understand buyer shopping missions, customers\' long term values, seller success, marketplace health and customer interest shift during the online shopping. As an Applied Scientist, you will work closely with software engineers to build custom large-scale machine-learning models powered in production to deliver customer impact. We comprise a team of applied scientists and machine learning engineers who are driven by data and are passionate about innovating in the field of Machine Learning (ML). Our areas of interest and expertise span Ranking, Optimization, Natural Language Processing, Deep Learning, and Reinforcement Learning. Our primary objective is to apply these sophisticated techniques to improve the search experience on our platform.
This is a full-time position working with the Engineering Manager, Marketplace Optimization, and the base salary range will be 184,000 - 216,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the US who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy .
What\'s this team like at Etsy?
The Marketplace Optimization team is a part of the Search group at Etsy, who are committed to refining search ranking quality for both buyers and sellers. We work on the last path ranking of search results, which significantly shapes the overall customer search experience. The team is an eclectic mix of machine learning engineers, applied scientists, and a product manager. Collaborating intensively with software engineers and various product and enablement teams throughout the organization, we are involved in the creation and execution of advanced machine learning algorithms that consistently facilitate improved search results.
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