Buyer Machine Learning Engineer
Buyer Machine Learning Engineer
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Job Description
At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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.
Looking for a company that inspires passion courage and creativity where you can be on the team shaping the future of global commerce Want to shape how millions of people buy sell connect and share around the world If youre interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment join eBay a company you can be proud to be with.
Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBays vast and varied inventory. Our team develops state-of-the-art recommendations systems including deep learning based retrieval systems for personalized recommendations machine learned ranking models GenAI/LLM powered recommendations as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
This is an opportunity to:
Influence how people will interact with eBays recommender systems in the future and how recommender systems technology will evolve
Work with unique and large data sets of unstructured multimodal data representing eBays vast and varied inventory including billions of items and millions of users
Develop and deploy state-of-the-art AI models to production which have direct measurable impact on eBay buyers
Deploy big data technology and large scale data pipelines
Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations
Qualifications:
MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in Engineering / Machine Learning / AI
Experience building large scale distributed applications and expertise in any OO language (Scala Java etc.)
Experience building with no sql databases and key value stores (MongoDB Redis etc)
Generalist with a can do attitude and willingness to learn/pick up new skill sets as needed
Experience with using cloud services is a plus (GCP is a double plus)
Experience with big data pipelines (Hadoop Spark) is a plus
Experience in AI applied research and industrial recommendation systems is a plus
Experience with Large Language Models (LLMs) and prompt engineering is a plus
Links to some of our previous work:
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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 veteran status and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Employment Type
Full-Time
