Applied Research Manager

At eBay, 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.

Position Overview

We are seeking an innovative and experienced Senior Applied Research Manager to lead our eBay Ads CCOE Applied Research team in developing groundbreaking advertising solutions that drive business growth and improve user experience.

Key Responsibilities

• Lead and mentor a team of applied research scientists and engineers in developing sophisticated advertising algorithms and models on both seller side and buyer side.
• Drive research initiatives in areas such as CTR prediction, bid optimization, and recommendation systems.
• Collaborate with product, engineering, and business teams to translate research findings into scalable solutions.
• Define and complete the technical roadmap for ads monetization improvements.
• Foster cross-functional partnerships to drive innovation in advertising technology.

Required Qualifications

• Master or PhD in Computer Science, Machine Learning, or related field, or equivalent experience.
• Proven experience in applied research, with 3+ years in advertising technology.
• Strong track record of leading and delivering impactful machine learning projects.
• Experience with large-scale machine learning systems and advertising platforms.
• Excellence in team leadership and cross-functional collaboration.

Preferred Skills

• Experience with real-time bidding systems and programmatic advertising.
• Deep understanding of recommendation systems and personalization.
• Publication record in top-tier conferences (KDD, WWW, SIGIR, etc.).
• Experience with e-commerce platforms and marketplace dynamics.
• Strong communication skills and ability to influence senior partners.

Qualifications

• Master or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
• Proven experience in applied research, with 3+ years in advertising technology
• Strong track record of leading and delivering impactful machine learning projects
• Experience with large-scale machine learning systems and advertising platforms
• Excellence in team leadership and cross-functional collaboration

Responsibilities

• Lead and mentor a team of applied research scientists and engineers in developing sophisticated advertising algorithms and models on both seller side and buyer side
• Drive research initiatives in areas such as CTR prediction, bid optimization, and recommendation systems
• Collaborate with product, engineering, and business teams to translate research findings into scalable solutions
• Define and complete the technical roadmap for ads monetization improvements
• Foster cross-functional partnerships to drive innovation in advertising technology