At e Bay, 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.

e Bay is a global commerce leader that empowers individuals to shape how the world buys, sells, and contributes. Our work culture has been rooted in genuine commitment to diversity and inclusion since our founding 30 years ago. Here, you have the freedom to be yourself, excel in your work, and make a meaningful impact on people worldwide. We are seeking individuals with drive, innovative ideas, and a passion for ensuring our customers' success and influencing the future of e Bay. If this resonates with you, we'd love to have a conversation with you.

About Our Team:

​The Product Knowledge team is at the epicenter of e Bay’s Tech-driven, Customer-centric overhaul. Our team is responsible for building and leveraging e Bay’s Product Knowledge, enabling a deep understanding of user intent and preferences. By transforming vast and complex data into actionable intelligence, we deliver personalized experiences across different stages of the buying and selling journey. Our team has a mix of highly proficient people from fields including Machine Learning, Data Science, Software Engineering, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

The role: Senior Applied Researcher, Sr MTS

​We are looking for seasoned Applied Researchers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and advanced modeling of user intent and preferences. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers.

Responsibilities:

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap.

• Help define and refine project scopes, goals, and metrics.

• ​Seek scientifically valid solutions that deliver real value to e Bay customers.

• Carefully measure your output and impact in order to learn and improve over time.

• Collaborate with the Operations team to ensure the quality of any human-labeled data required.

• ​Build Machine Learning models and data pipelines to deliver insightful yet practical solutions.

• Mentor more junior peers, as well as review their work and provide frequent feedback and advice.

• Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers

• ​Present key technical and novel research work in public forums and conferences

• Act as a role model for inclusive, collaborative research and engineering practices, fostering an environment where diverse perspectives are valued.

• Help interview and hire additional, exceptional teammates!

Minimum Qualifications:

• ​BE/B.Tech with 10+ years of relevant Industry experience.

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 7+ years of industrial experience in Applied Machine Learning.

• ​Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related.

• Significant Experience in Production-grade coding in a high-level language such as Python or Java.

• ​Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark.

• ​Excellent verbal and written communication and collaboration skills.

• Thought leadership and mentoring skills.

Additional Qualifications:

• ​5 or more related publications/patents in quality conferences or journals.

• Open source tool building/commits to popular threads.

• Experience on Language models.

Additional Details

This job posting relates to an existing vacancy within e Bay.

e Bay 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, 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 e Bay's commitment to ensuring digital accessibility.

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