Senior Manager, MLE - Gen AI

Reposted 2 Days Ago
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Amsterdam, NLD
In-Office
Senior level
eCommerce • Retail
The Role
Lead a team of researchers and engineers in developing and deploying advanced AI-driven recommender systems for eBay's eCommerce platform, leveraging ML and NLP techniques.
Summary Generated by Built In

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.


About the team and the role

The 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.

We 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.


What you will accomplish
  • Lead 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.
  • Set 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.
  • Turn promising research and prototypes into scalable production systems, making pragmatic decisions across model quality, architecture, latency, cost, reliability, and maintainability.
  • Build systems and practices for model training, post-training, evaluation, deployment, serving, and continuous improvement using user, human, and production feedback.
  • Partner 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.
  • Hire, mentor, and grow a strong technical team while fostering a culture of scientific rigor, engineering excellence, experimentation, collaboration, and end-to-end ownership.

What you will bring
  • 8-10 years of experience in machine learning and Generative AI, with a track record of developing and delivering ML-powered capabilities or products from experimentation through production.
  • 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.
  • Deep 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.
  • Strong machine learning engineering skills, including experience with model training or fine-tuning, evaluation, scalable data pipelines, deployment, inference, and production model serving.
  • Strong 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.
  • Ability to operate effectively across research, engineering, and product, turning ambiguous problems into technical strategies and leading teams toward 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 [email protected]. 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.


We 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.

Skills Required

  • MS/PhD in Computer Science or related area with 8 years of relevant work experience or BS/BA with 10 years
  • Experience in people management and leading/mentoring a 4+ member team
  • Experience leading a nimble engineering/research team in a ML/AI environment
  • Experience with cloud services, big data pipelines and databases
  • Experience in Natural Language Processing (NLP) and industrial recommender systems
  • Experience in production engineering practices and software development in an OO language

eBay Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.

  • Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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