Amsterdam, North Holland, Netherlands
Open 7 months, first seen by us 213 days agoLead technical design and delivery of GenAI and ML capabilities into production
Build systems with LLMs, multimodal models, agents, and retrieval
Make architecture decisions across training, evaluation, deployment, and monitoring
Turn research into scalable production capabilities with applied researchers
Mentor other engineers and guide their implementation work
Lead the technical design and delivery of Generative AI and machine learning capabilities
Build systems involving LLMs, multimodal models, agents, retrieval and context, embeddings
Make technical and architectural decisions across the ML lifecycle
Partner with applied researchers and engineers to translate promising research into scalable production capabilities
mentor other engineers, and contribute to strong technical, engineering, and experimentation practices
Open 7 monthsWe first saw this posting 213 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 213
Up longer than most. Similar jobs usually come down between day 8 and day 76.
Well past eBay’s usual: its jobs come down by about day 37.
From 5,496 similar postings that came down, and 68 of eBay’s. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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 model development and experimentation to evaluation, optimization, productionization, and integration into customer-facing products and platform capabilities.
We are looking for a Machine Learning Engineer, Generative AI - Tech Lead to join the team as an individual contributor. You will take technical ownership of Generative AI capabilities from experimentation through production, combining hands-on machine learning and software engineering with technical leadership. Working closely with applied researchers, engineers, product teams, and AI platform teams, you will help shape technical approaches, lead execution, and build scalable AI capabilities that deliver measurable impact for eBay customers.
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.
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.
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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Amsterdam, North Holland, Netherlands
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