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Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About The Team And The RoleAdvertising is one of the fastest growing areas in eBay which in some ways, is defining the future of eBay. Digital advertising as an industry is growing rapidly, and the landscape is shifting as ecommerce advertisers are finding better value with ecommerce 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 ecommerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.
This team focuses on building ML/data 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, budget and Ads bid rate to apply for their campaigns, diagnose issue while providing solutions, and eventually create and optimize campaigns automatically for advertisers for the best performance. 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.
As an Applied Researcher within our Advertising team, you will play a pivotal role in developing machine learning models and algorithms to guide advertisers effectively. Your work will directly impact our guidance systems, enhancing ad performance and delivering actionable insights. You will lead our efforts in data analysis, uncovering trends, and driving data-informed decisions that support our advertisers' success.
What You Will Accomplish

• End-to-End Machine Learning Development: Design, implement, and validate machine learning models tailored to advertising applications. Focus on developing systems that provide actionable guidance to advertisers, optimizing ad performance and engagement.
• Data Analysis: Analyze large volume of data to produce actionable insights and build pipeline/dashboard for feature engineering and performance monitoring.
• Cross-functional Collaboration: Work closely with product managers, software engineers, and other researchers to integrate machine learning solutions into our advertising products. Ensure that our advertiser guidance systems are meeting with user needs and improving business goals.
• Innovation and Research: Stay close to the latest developments in machine learning and advertising technologies. Contribute to internal and external research communities by publishing findings, advocating eBay's technical advancements at accredited industrial and academic conferences.
• Technical Mentoring: Provide technical leadership and mentoring to other team members. Share knowledge and best practices in Machine Learning to uplift the team's capabilities.

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: 5 years (with PhD) or 8 years (with MS) of related work experience in applied research or development of machine learning models, preferably with the advertising industry or a closely related field (e.g. search, recommendations system and NLP). Industrial publication is a plus.
• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
• Communication: Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical partners.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$149,200 - $234,850
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 401(k) eligibility and 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.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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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.
Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.
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