Applied Researcher 2- Ads

Key Skills

Aartificial intelligence, Big Data Technology, C++, Deep Learning, Effective communication skills, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, R Programming, Scala Programming

Job Description

Advertising on eBay is a key driver for our sellers to increase their selling velocity and a phenomenal growth opportunity for eBay. If you love ground breaking Digital Advertising and Big Data technologies AND if you are passionate about bringing new insights, energy, and dedication to improve Ads on eBay, please join the Ads team at eBay China Center of Excellence (CCOE).

This team focuses on building data / ML services for our advertiser sellers, to guide them ways to optimize for their ad budget and goals, for example by recommending the right inventory, keywords and Ads bid rate to apply for their campaigns, and eventually create campaigns automatically for advertisers. This is a relatively new area but with a very high business potential and need. It would allow you to work with massive amounts of data, and use a variety of data science techniques.

We are looking for top-notch Machine Learning/Deep Learning Applied Researchers at all levels who could come and help us to build the best eCommerce Advertising Platform. People in the team are friendly, highly motivated, and extremely bright. Our team strives for a culture of professionalism, innovation, career growth, and fun. We will provide you with the best opportunity to work in an ambitious, highly visible and fast paced environment.

The ideal candidate will have a blend of science and engineering skills, consistent record of solving critical business problems through data science and strong analytical/quantitative skills. The candidate will be encouraged to have strong communication skills and to be capable of cross-group collaborations.

• Primary Job Responsibilities:
• Mine big data to understand user behaviors and patterns and leverage the insights to optimize Ads experience with sellers/buyers.
• Research and develop algorithms for greater recommendation experiences for sellers/buyers.
• Develop solution to large-scale problem.
• Translate business problem to machine learning problem.
• Build quick prototypes

Job Qualifications:

• Smart, quick learning and proactive.
• Good communication skills and a great teammate.
• Enthusiastic about mining big data to improve Ads experience.
• Ability to work independently and in a team to research innovative solutions to challenging business problems.
• Master degree or above in Computer Science or related field. Ph.D. is preferred.
• Strong analytical skill and data-driven decision making.
• Solid knowledge about data structure and algorithms.
• Proficient in R, Python, Java, Scala, or C++ programming.
• Data mining, machine learning or information retrieval background is required.
• Experience with machine learning, deep learning, natural language understanding, or other AI technologies.

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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 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 for people with disabilities.