Machine Learning Engineer

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 were more than a global ecommerce leader. Were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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 aMachine Learning Engineerto join our Foundation Models team as an individual 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

• Masters 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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

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