At e Bay, 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.

Who Are We?

​The Product Knowledge team is at the epicenter of e Bay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using e Bay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What you will accomplish

We are looking for Applied Researchers to join us and help improve, automate, and scale our data-heavy processes. Our researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers. If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

e Bay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - e Bay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Responsibilities:

• An opportunity to work on cutting-edge research in NLP and deep learning, making significant contributions to the field and real-world applications.

• A collaborative and supportive work environment where innovation and creativity are encouraged.

• Access to state-of-the-art resources and tools to support your research and development work.

• A culture that values diversity, inclusion, and the professional growth of its members.

What you will bring:

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

• Experience: 0-1 years (with PhD) or 1-3 years (with MS)

• Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., Tensor Flow, Py Torch) and experience with big data technologies (e.g., Hadoop, Spark).

• Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.

• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

Additional Details

The base pay range for this position is expected in the range below:

C**$118,000** - C**$157,500**

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within e Bay.

e Bay 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 e Bay's commitment to ensuring digital accessibility.

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