Sr MTS 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.

About the team and the role:

Looking for a company that inspires passion courage and creativity where you can be on the team shaping the future of global commerce Want to shape how millions of people buy sell connect and share around the world If youre interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment join eBay a company you can be proud to be with.

eBays Ads teams are building the next generation of intelligent marketplace experiences that help buyers discover relevant inventory and help sellers grow their businesses. These systems span multiple applied ML domains including sponsored search item recommendations seller guidance experiences ranking retrieval personalization and GenAI-powered capabilities.

As a Sr MTS Machine Learning Engineer you will serve as a senior technical leader for high-impact ML initiatives. You will help set direction define engineering approaches guide experimentation and work hands-on with researchers and engineers to bring ML systems into production. The candidate will work closely with leaders and other teams from our globally distributed Ads organization including product managers design and analytics leaders to brainstorm and enable future personalized e-commerce shopping experiences. This is a shared technical lead role across Ads teams and will support the needs of Recommendations Ads Search Ads and Ads Guidance.

What you will accomplish:

• Provide technical leadership to a team of engineers for ML initiatives across Ads and marketplace discovery

• Champion software engineering best practices including code reviews testing and documentation within the machine learning team

• Design build and operate scalable backend and ML systems supporting sponsored experiences ranking retrieval and personalization

• Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened production-ready code

• Mentor other team members through code reviews technical guidance architecture design and pair programming

• Drive measurable customer and business impact through disciplined A/B testing and iteration

What you will bring:

• MS in Computer Science or related area with 10 years of relevant work experience (or BS/BA with 13 years) in ML / AI / Data Engineering.

• Expert in production engineering practices and software development in an OO language (Scala Java etc.)

• Experience using cloud services big data pipelines databases and distributed processing frameworks e.g. Apache Hadoop Spark Flink

• Extensive hands-on experience developing production ML/AI systems using Python and modern ML frameworks such as PyTorch and TensorFlow

• Experience with serving frameworks (TensorFlow Serving TorchServe NVIDIA Triton) and libraries for LLM operations (LangChain Hugging Face Transformers) preferred

• Proven ability to design and build scalable distributed systems and expose their functionality through well-designed RESTful or gRPC APIs

• A masterful understanding of the challenges and requirements of running machine learning in a live 24/7 production environment including monitoring alerting and incident response

Links to some of our previous work:

• How eBay Created a Language Model With Three Billion Item Titles

• Complementary Item Recommendations at eBay Scale

• Transforming Fashion Discovery in E-Commerce through Theme-Based Categorization with GenAI

• Scroll into the Future: How eBays Multi-Arm Bandits Elevate Product Recommendations Through Dynamic Pagination

• Improving eBays Fashion Fitment Using Size Signals From Search Queries

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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