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.
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 you’re 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.
eBay’s 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 eBay’s Multi-Arm Bandits Elevate Product Recommendations Through Dynamic Pagination
Improving eBay’s 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 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
- Master’s degree in Computer Science or a related field and 8+ years of relevant experience in ML, AI, or data engineering
- Bachelor’s degree or equivalent and 10+ years of relevant experience in ML, AI, or data engineering
- Expertise in production engineering and software development using an object-oriented language such as Scala or Java
- Experience with cloud services, big data pipelines, databases, and distributed processing frameworks such as Hadoop, Spark, or Flink
- Extensive hands-on experience developing production ML or AI systems using Python and frameworks such as PyTorch or TensorFlow
- Experience designing and building scalable distributed systems and exposing functionality through RESTful or gRPC APIs
- Strong understanding of operating machine learning systems in a 24/7 production environment, including monitoring, alerting, and incident response
- Experience with model serving frameworks such as TensorFlow Serving, TorchServe, or NVIDIA Triton
- Experience with LLM libraries such as LangChain or Hugging Face Transformers
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.
eBay Insights
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.
