Job Description & How to Apply Below
This job is with eBay, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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.
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.
What Will You Do
You will lead research initiatives from problem formulation and hypothesis generation through experimentation, model development, and real-world validation. You will have significant ownership of your work, driving innovations from initial research exploration to measurable customer and business impact.
Your work will include: Exploring and prototyping advanced modeling approaches, including adapting recent research advances to large-scale real-world problems.
Developing and evaluating ML models for image, text, and multimodal applications.
Conducting rigorous experiments on large-scale datasets to validate research hypotheses and model improvements.
Collaborating with product and engineering teams to translate research innovations into measurable customer impact.
We value people who enjoy tackling open-ended research problems, combining scientific rigor with hands-on execution, and seeing their ideas validated through experimentation and real-world impact.
If you love a good challenge, and are good at handling complexity - we'd love to hear from you!
eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus
A healthy work culture that promotes business impact and at the same time highly values your personal well-being
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world's population, and takes every opportunity to make this clearly apparent
Job Responsibilities Review academic and industry research, prototype promising ideas, and validate them through rigorous experimentation.
Contribute to the research community through patents, technical publications, conference submissions, and internal knowledge sharing.
Design and develop machine learning models for image, text, and multimodal applications.
Drive applied research projects from problem formulation through evaluation and production adoption, in collaboration with engineering partners
Analyze large-scale data, define evaluation methodologies, and iterate based on experimental findings.
Participate in technical discussions, reviews, and knowledge sharing across the organization
Minimum Qualifications Strong interest in applied machine learning research and real‑world ML systems
Master's degree (PHD preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field
6+ years of experience in applied research, machine learning, or related data-driven domains.
Solid foundations in machine learning & statistics
Exper…
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