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.
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.
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
- 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
- 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
- Experience collaborating with product and engineering stakeholders to translate research into impactful solutions.
- Strong programming experience in Python
- Good communication and collaboration skills
Additional Details
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, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. 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 for people with disabilities.
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Skills Required
- Strong interest in applied machine learning
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- 6+ years of experience working on applied research, ML models, or data-driven systems
- Solid foundations in machine learning, statistics, and software engineering
- Strong programming experience in Python
- Experience developing ML models for image, text, and multimodal use cases
- Experience with large-scale datasets and building practical ML pipelines
- Experience deploying models into production and measuring their impact
- Good communication and collaboration skills
eBay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.
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Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
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Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
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Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.
eBay Insights
What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.
