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.
Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay's vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
We are exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI. We are looking for a Lead ML Engineer and innovator who can drive state of the art ML engineering, define research directions, guide the team, and get systems into production at eBay scale.
This Is An Opportunity To

• Lead a group of talented engineers to build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.
• Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy innovative models in the context of recommender systems
• Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences
• Have real impact on how shoppers interact with one of the world's largest ecommerce marketplaces, find what they love every day
• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Qualifications

• MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in ML / AI / Data Engineering
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and big data pipelines and databases
• Experience in AI applied research, preferably in Natural Language Processing (NLP) and industrial recommender systems
• Experience as the tech lead for an engineering or research team
• A high bar for engineering excellence in terms of practices and processes

Benefits are an essential part of your total compensation for the work you do every day. Whether you're single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn't just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay's Diversity & Inclusion click here:
The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$149,200 - $234,850
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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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 . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.
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