Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this ML/Applied Research Manager role.
Rezi rewrites your resume against eBay's job description. Free.

Tailor your resume to this ML/Applied Research Manager role.
Rezi rewrites your resume against eBay's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the ML/Applied Research Manager posting at eBay — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the ML/Applied Research Manager posting at eBay — free, in seconds.
About the Role
Lead a team of applied researchers and engineers in developing advanced AI, NLP, LLM/GenAI, RAG, and AI technologies to create intelligent and engaging marketplace experiences. Drive personalization strategy for eBay recommendations and influence the evolution of recommender systems.
Responsibilities
- Lead and manage a group of applied researchers and engineers with expertise in NLP, LLMs, AI, recommender systems, and ML production engineering.
- Drive personalization strategy for eBay recommendations and influence the eBay homepage's look and feel.
- Influence future human interaction with recommender systems and their technological evolution.
- Work with unique and large datasets of unstructured multimodal data representing eBay's inventory and users.
- Develop and deploy innovative AI models.
- Deploy big data technology and large-scale data pipelines.
- Drive marketplace GMB and advertising revenue via organic and sponsored recommendations.
Requirements
- MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI.
- Experience leading a nimble engineering/research team, preferably in an ML/AI technology environment.
- Experience with cloud services, big data pipelines, and databases.
- Experience in Natural Language Processing (NLP) and industrial recommender systems.
- Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high-volume traffic webapp development in an industrial setting.
- Previous publications experience with academic papers, patents/IP, or technical blogs is a plus.
Skills
- Machine Learning
- NLP
- LLM/GenAI
- RAG
- AI
- Recommender Systems
- ML Production Engineering
- Cloud Services
- Big Data Pipelines
- Databases
- Production Engineering
- Software Development
- Scala
- Java
Experience Level
- 8 years of relevant work experience (or BS/BA with 10 years)
Education Level
- MS/PhD in Computer Science or related area
- BS/BA
About the Company
- eBay is a global ecommerce leader changing the way the world shops and sells, empowering millions of buyers and sellers in over 190 markets.
- The company is committed to pushing boundaries and reinventing the future of ecommerce for enthusiasts.
- eBay values customer focus, authenticity, bold ideas, and inclusivity.
- The company is focused on circular commerce and the next generation of conscious consumers.
- eBay recently acquired Depop, a leading C2C fashion marketplace with a strong Gen Z and Millennial customer base, to grow its C2C business portfolio.
Equal Opportunity
- 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 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.
- 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 our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.