A/B Testing, Apache Beam, Data Analysis, Data Modeling, Effective communication skills, Google Cloud Platform (GCP), Google sheets, Google Suite, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, PyTorch, Reinforcement Learning, Sales Optimisation, Spark Core, TensorFlow
What's the role?
We are looking for an 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 which are driven by data and 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 reporting to the Engineering Manager of 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 our competitive benefits 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 here.
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 pass 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.
What does the day-to-day look like?
Qualifications
Qualities that will help you thrive in this role are:
You are a caring teammate who enjoys helping others. Your growth mindset means you find happiness in continuous learning and self-improvement. You care about how ML impacts real people. It also helps if you have:
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
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
Etsy, Inc. is an American e-commerce company focused on handmade or vintage items and craft supplies. These items fall under a wide range of categories, including jewelry, bags, clothing, home décor and furniture, toys, art, as well as craft supplies and tools. All vintage items must be at least 20 years old.
Mexico City, CDMX, Mexico
4-6 year