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eBay

Applied Researcher

Advertising is one of the fastest growing areas in eBay which in some ways, will define the future of eBay. Digital advertising as an industry is growing rapidly, and the landscape is shifting as e-commerce advertisers are finding better value with e-commerce companies like eBay. As they shift budget from the duopoly of Google and Facebook, it creates a huge opportunity for eBay. Advertising is also amplifying eBay’s e-commerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.

About the Team

Our Merchandising and Advertising team works on delivering recommendations at scale and in near real time to our buyers on our website and native apps. We work on hard data science, engineering and UX challenges across the entire recommendation's workflow - from selecting and ranking the most relevant listings to recommend from eBay’s inventory of over 1 billion live listings based on the user’s implicit shopping intent and context, to delivering and rendering them on eBay’s web pages and native apps using appropriate user interfaces. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. The sponsored recommendations product is growing rapidly as a channel for our sellers to drive sales velocity by promoting their listings.

About the Role

We are building a state-of-the-art near real time deep learning retrieval system. We are looking for an applied researcher who will build the next generation deep learning models that will power and improve personalized recommender systems at eBay scale. We are a combined machine learning and production engineering team, so we make sure the models we develop are fully scalable to eBay’s global traffic. The candidate for this role will develop the core text based deep learning models used to generate recommendations for eBay users.

We are looking for passion for deploying reliable and efficient machine learning solutions to production at scale. You will collaborate with other researchers and engineers to invent, design and implement end-to-end reliable, scalable, efficient production services in Scala/Java, and Python (or similar languages), using state-of-the-art deep learning and machine learning methods.

The ideal candidate will have a blend of science and engineering skills, a proven track record of solving critical business problems through deep learning modeling and strong analytical/quantitative and engineering skills. The candidate will be expected to have strong communication skills and to be capable of cross-group collaborations.

Come and help us push the frontier of e-commerce through AI!

Responsibilities:
  • Develop deep learning models that will power and improve personalized recommendations at eBay

  • Work with data scientists, engineers, and multi-functional teams to produce end-to-end production-ready solutions

  • Develop solutions for large scale problems in eBay

  • Provide technical leadership and mentoring to other team members

  • Translate business problems into machine learning problems

  • Build quick prototypes and do preliminary explorations to decide on feasibility and direction

  • Present research at academic conferences, relevant meetups, and/or the eBay Tech Blog

Requirements:
  • MS in Computer Science, (PhD preferred) or equivalent experience.

  • Experience in deep learning (DL), natural language processing (NLP), machine learning (ML), and statistical modeling (it’s a plus if you have published a paper!).

  • Excellent understanding of ML and DL algorithms, modern recommender system techniques, and state-of-the-art industrial systems.

  • Strong programming skills in Python, Scala (or Java) (we are a hands on team!).

  • Experience with deep learning frameworks (PyTorch, TensorFlow)

  • Experience with large data sets and related technologies (Hadoop, Spark).

  • Ability to lead people and projects while writing code

  • Strong analytical skills and data-driven decision-making

  • Strong communication skills

  • 5+ years of related work experience

Benefits:

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/

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eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement

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