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 reinventing the future of ecommerce for enthusiasts.

The Foundation Models team is at the forefront of this transformation. We are building next-generation Generative AI and foundation-model capabilities that power intelligent experiences across eBay at global scale. From advanced retrieval systems to multimodal understanding, our work directly shapes how customers discover, evaluate, and engage with inventory across the marketplace.

We are seeking a Machine Learning Engineer to join our Foundation Models team as an individual contributor. In this role, you will contribute to building, evaluating, and deploying machine learning and Generative AI systems for large-scale ecommerce applications. You will work with applied researchers, senior engineers, and product partners to help bring AI capabilities from experimentation into reliable production systems.

This is a hands-on engineering role for someone with strong machine learning fundamentals, good software engineering skills, and a desire to build practical AI systems at scale.

This Is An Opportunity To

Develop and improve machine learning and Generative AI capabilities for large-scale ecommerce applications
Build components involving LLMs, retrieval-augmented generation, embeddings, multimodal models, ranking, personalization, and agentic workflows
Contribute to learning systems that improve from feedback signals, such as preference learning, reward modeling, bandits, and online/offline feedback loops
Work with applied researchers and senior engineers to turn prototypes and experiments into reliable production components
Build and maintain training, fine-tuning, evaluation, and deployment pipelines for machine learning models
Support improvements to model quality, latency, reliability, observability, and operational performance in production environments
Work with large-scale structured and unstructured data, including text, image, behavioral, and marketplace inventory data
Collaborate with engineering, product, and platform teams to integrate AI capabilities into eBay experiences
Apply good software engineering practices, including code quality, testing, monitoring, documentation, and operational excellence
Contribute to structured experimentation, A/B testing, and measurement of customer and business impact

Qualifications

Master’s, PhD, or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field, typically with 4+ years of relevant work experience
Hands-on experience developing machine learning models or machine learning-enabled software systems
Good understanding of machine learning, NLP, Large Language Models, embeddings, retrieval, ranking, recommender systems, or multimodal modeling
Experience with model training, fine-tuning, evaluation, deployment, or performance optimization
Exposure to reinforcement learning or feedback-driven learning systems, such as preference learning, reward modeling, bandits, or continuous model improvement loops
Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
Experience with data processing, cloud infrastructure, databases, distributed systems, or model-serving platforms
Good software engineering skills and familiarity with production engineering practices
Ability to work independently on clearly scoped technical tasks and collaborate effectively on larger projects
Good communication and collaboration skills, with the ability to work across research, engineering, product, and platform teams
Previous publications, patents, open-source contributions, or technical blogs are a plus

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 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 for people with disabilities.

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Vacatures

Machine Learning Engineer