Senior Applied Researcher Advertising

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.

About the role and the team:

Advertising 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 builds a huge opportunity for eBay. Advertising is also amplifying eBays ecommerce by providing a tool for our sellers to move inventory and for buyers by surfacing high quality items.

This team builds end-to-end ML and data-driven advertising systems that power both ad serving and advertiser-side optimization. We develop large-scale recommendation models to achieve marketplace monetization and bring relevant buyer experiences while also providing intelligent guidance to help advertisers optimize their targeting bids budgets inventory and business goals through automation machine learning including GenAI. This is a high-impact and fast-growing area with significant business potential requiring work with massive datasets and advanced machine learning techniques across ranking forecasting optimization and experimentation.

As an Applied Researcher within our Advertising team you will play a pivotal role in developing machine learning models and algorithms to guide advertisers optimally. This role will also include a scope positioned around data analysis. 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:

• Machine Learning Development: Design implement validate and deploy machine learning models tailored to advertising applications. Focus on developing systems that provide actionable guidance to advertisers optimizing ad performance and engagement.

• Data Understanding: Analyze large volume of production data to produce business insights and identify potential opportunities for ML solutions

• Cross-functional Collaboration: Work closely with product managers engineers and other researchers to integrate machine learning insights into our advertising products. Ensure that our advertiser guidance systems are aligned with user needs and business goals.

• Innovation and Research: Stay abreast of the latest developments in machine learning and advertising technologies. Chip into internal and external research communities by publishing findings attending conferences and participating in collaborative projects.

• Technical Mentoring: Guide junior researchers and data analysts. Share knowledge and standard methodologies in machine learning and data analysis to uplift the teams capabilities.

What you will bring:

• Education: Ph.D. (3 yrs) or M.S. (5 yrs) in Computer Science Statistics Mathematics or a related field with a focus on machine learning or data science.

• 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. PyTorch/Huggingface/Ray/vLLM) and experience with big data technologies (e.g. Hadoop Spark).

• Analytical Skills: Outstanding ability to analyze large datasets identify trends and derive actionable insights. Expertise in data mining and segmentation. SQL is a must.

• 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:

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 eBay.

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 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.

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 ourTalent Privacy Notice Privacy Center and AI Hiring Guidelines.