Senior Manager ML Engineer

ppAt 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. /p pOur 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. /p pJoin a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. /p pAt 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. /p h3About The Team And The Role /h3 pThe Foundation Models team builds next-generation Generative AI capabilities and products that power intelligent experiences across eBay at global scale. We work across the full AI lifecycle, from applied research and model development to evaluation, optimization, productionization, and integration into customer-facing products and platform capabilities. /p pWe are looking for a Senior Manager, Machine Learning Engineering - Generative AI to lead a team of applied researchers and machine learning engineers. This is a hands-on technical leadership role for someone who is equally comfortable exploring state-of-the-art AI approaches and turning them into scalable, reliable products. You will set technical direction, develop and grow the team, and work closely with product, engineering, and platform partners to take ideas from research and experimentation all the way to production. /p h3What you will accomplish /h3 ul liLead a team of applied researchers and machine learning engineers delivering end-to-end Generative AI capabilities and products, from research and experimentation through production deployment and continuous improvement. /li liSet the technical direction for the team and remain hands-on in solving challenging problems across LLMs, multimodal models, agents, retrieval and context, model adaptation, and learning from feedback. /li liTurn promising research and prototypes into scalable production systems, making pragmatic decisions across model quality, architecture, latency, cost, reliability, and maintainability. /li liBuild systems and practices for model training, post-training, evaluation, deployment, serving, and continuous improvement using user, human, and production feedback. /li liPartner closely with product, engineering, research, and AI platform teams to identify high-impact opportunities and deliver AI capabilities that create measurable value for eBay customers. /li liHire, mentor, and grow a strong technical team while fostering a culture of scientific rigor, engineering excellence, experimentation, collaboration, and end-to-end ownership. /li /ul h3What you will bring /h3 ul li5-6 years of relevant experience in machine learning and Generative AI, with a track record of developing and delivering ML-powered capabilities or products from experimentation through production. /li li2 years of Experience leading and developing technical teams, with the ability to set direction while remaining sufficiently hands-on to contribute to technical decisions, experimentation, architecture, and implementation. /li liDeep expertise in one or more areas such as Large Language Models, multimodal models, NLP, agents, post-training, reinforcement learning, or learning from feedback, combined with broad understanding of modern Generative AI systems. /li liStrong machine learning engineering skills, including experience with model training or fine-tuning, evaluation, scalable data pipelines, deployment, inference, and production model serving. /li liStrong software engineering foundation, including proficiency with Python and modern ML frameworks such as PyTorch, and the ability to reason about scalable and reliable production systems. /li liAbility to operate effectively across research, engineering, and product, turning ambiguous problems into technical strategies and leading teams toward measurable customer and business impact. /li /ul h3Additional Details /h3 peBay 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 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. /p pWe use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines. /p /p #J-18808-Ljbffr