Sr Applied Scientist, Recommendations at eBay | CA | Rezi

Sr Applied Scientist, Recommendations at eBay

Sr Applied Scientist, Recommendations

eBay · CA

2 weeks ago

Sr Applied Scientist, Recommendations

eBay · CA

19 days ago
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About the Role

Our Recommendations team delivers item recommendations at scale and in near real time to buyers on our website and native app platforms. We are looking for an Applied Scientist and innovator who can drive state of the art ML modeling and get systems into production at eBay scale, exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI.

Responsibilities

  • Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.
  • Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.
  • Develop and deploy innovative models in the context of recommender systems.
  • Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.
  • Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day.
  • Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.

Requirements

  • MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
  • Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
  • Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
  • Experience with using cloud services, big data pipelines and databases

Skills

  • ML
  • AI
  • Data Engineering
  • production engineering
  • software development
  • OO language
  • Scala
  • Java
  • AI applied research
  • Natural Language Processing (NLP)
  • deep learning
  • industrial recommender systems
  • big data processing
  • big data analysis
  • Hadoop
  • SQL
  • Spark
  • Pyspark
  • cloud services
  • big data pipelines
  • databases

Experience Level

  • 3 years of relevant work experience (or BS/BA with 5 years)

Education Level

  • MS in Computer Science or related area
  • BS/BA

Salary/Compensations

  • C$142,400 - C$190,100

Benefits

  • target bonus
  • restricted stock units
  • medical benefits
  • financial benefits
  • RRSP eligibility
  • various paid time off benefits
  • PTO
  • parental leave

About the Company

  • eBay is a global ecommerce leader that is 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.

Equal Opportunity

  • eBay 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, and disability, or other legally protected status.
  • If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible.
  • View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.
  • We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process.
  • To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.