Senior Applied Researcher

eBaySan Antonio, TX
259d$152,400 - $247,800

About The Position

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Requirements

  • PhD in Computer Science or related area with 10+ years of relevant work experience in Machine Learning / AI / NLP / LLM.
  • Experience with building personalized recommender systems or other forms of personalization technology.
  • Proven track record of applied research supported by publications, blog articles or other demonstrations of knowledge of the field.
  • Hands on engineering skills to build and deploy ML models in production on prem or using cloud services.
  • Experience acting as research lead, articulating research strategy.

Nice To Haves

  • Experience with video understanding or video technology is a plus.

Responsibilities

  • Define research directions that will influence how people discover eBay's inventory relevant to their interests and passions.
  • Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users.
  • Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a distributed team of applied researchers and ML engineers.
  • Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.
  • Publish research work in Tier 1 conferences as well as write IP and tech blogs.

Benefits

  • 401(k) eligibility
  • various paid time off benefits, such as PTO and parental leave

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

Education Level

Ph.D. or professional degree

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