Senior 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 a Senior Machine Learning Engineer to join our group passionate about Foundation Models as an individual this role you will design build and productionalize machine learning systems that bring advanced AI capabilities into real customer-facing and platform experiences. You will work closely with applied researchers engineers and product partners to turn state-of-the-art ideas into scalable reliable and measurable systems.

This is a hands-on technical role for someone who combines strong machine learning expertise with solid engineering judgment and a passion for building production-grade AI systems.

This is an opportunity to:

• Design build and productionalize machine learning and Generative AI capabilities for large-scale ecommerce applications

• Build and optimize systems involving LLMs retrieval-augmented generation embeddings multimodal models ranking and personalization

• Develop learning systems that improve from feedback signals including reinforcement learning preference optimization reward modeling bandits and online/offline feedback loops

• Partner with applied researchers to turn prototypes and experiments into maintainable production capabilities

• Build robust training fine-tuning evaluation and deployment pipelines for large-scale machine learning models

• Improve model quality latency cost reliability and observability across production AI systems

• Collaborate with engineering product and platform teams to integrate AI capabilities into eBay experiences

• Apply strong software engineering practices including code quality testing monitoring documentation and operational excellence

• Know the latest advances in machine learning Generative AI and foundation models and help bring relevant innovations into production

• Raise scientific and technical standards through structured experimentation peer review documentation and thoughtful technical contributions

What you will bring:

• Masters PhD or equivalent experience in Computer Science Machine Learning Artificial Intelligence Computational Linguistics or a related field with 8 years of relevant work experience

• Strong hands-on experience building and deploying machine learning systems in production environments

• Deep understanding of machine learning NLP Large Language Models neural architectures embeddings retrieval ranking or multimodal modeling

• Experience with model training fine-tuning evaluation deployment and performance optimization

• Experience with reinforcement learning or feedback-driven learning systems including preference learning reward modeling bandits or continuous model improvement loops

• Proven proficiency in software development with Python and experience with modern ML frameworks such as PyTorch TensorFlow or similar

• Experience working with scalable data processing distributed systems cloud infrastructure or model-serving platforms

• Ability to design practical solutions that balance quality latency cost reliability and maintainability

• Strong problem-solving skills and the ability to work independently in ambiguous technical areas

• Excellent collaboration and communication skills with experience working across research engineering product and platform teams

• A strong sense of ownership and a track record of delivering high-impact technical work as an individual contributor

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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