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 eBay's 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 team's capabilities.
What you will bring:
- Education: Ph.D. or M.S. (3 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 DetailsThe 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 eBay.
