This is a hands-on technical leadership role for someone who combines strong machine learning expertise with solid software engineering judgment and enjoys turning advances in Generative AI into reliable products and capabilities.
What you will accomplish
Lead the technical design and delivery of Generative AI and machine learning capabilities, taking them from experimentation and prototyping through production deployment and continuous improvement.
Build systems involving LLMs, multimodal models, agents, retrieval and context, embeddings, model adaptation, and learning from feedback, while remaining hands-on in implementation and experimentation.
Make technical and architectural decisions across the ML lifecycle, including data, model training and fine-tuning, evaluation, deployment, inference, monitoring, and continuous improvement.
Partner with applied researchers and engineers to translate promising research into scalable production capabilities, guiding technical execution and helping others solve complex implementation challenges.
Drive improvements in model and system quality while balancing latency, cost, scalability, reliability, maintainability, and observability in production.
Collaborate across research, engineering, product, and platform teams, mentor other engineers, and contribute to strong technical, engineering, and experimentation practices.
What you will bring
Minimum 5 years of hands-on experience developing and deploying machine learning systems, with a track record of owning significant ML capabilities from development through production.
Strong expertise in modern machine learning and experience in one or more areas such as Large Language Models, multimodal models, NLP, agents, retrieval, model adaptation, or learning from feedback.
Experience across the ML lifecycle, including model training or fine-tuning, evaluation, deployment, inference, monitoring, and performance optimization.
Strong software engineering skills, particularly in Python and modern ML frameworks such as PyTorch, together with experience designing scalable, reliable, and maintainable production systems.
Demonstrated technical leadership, including making architectural decisions, driving technical execution, mentoring others, and navigating tradeoffs across model quality, latency, cost, and reliability.
Ability to independently lead complex technical problems and collaborate effectively across research, engineering, product, and platform teams to deliver measurable customer and business impact.
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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