Applied Researcher (T25)

The Product Knowledge team at eBay is central to the company's tech-driven, customer-centric transformation, focusing on creating and utilizing eBay’s extensive Product Knowledge system, which includes listings, transactions, products, and knowledge graphs. The team seeks Applied Researchers to enhance, automate, and scale data-intensive processes. This role involves tackling projects such as Image Quality scoring, Automatic Taxonomy Improvement, Entity Resolution, and Conflict Resolution, with opportunities to contribute to cutting-edge language modeling techniques and pursue publications and patents. The ideal candidate will love data, graphs, and machine learning, and thrive in a collaborative environment.

Must Have

• Help define and refine project scopes, goals, and metrics
• Seek scientifically valid solutions that deliver real value to eBay customers
• Carefully measure your output and impact to learn and improve over time
• Collaborate with 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
• Engage with the eBay Science community to promote standard scientific methodologies and processes in your field
• Present key technical and novel research work in public forums and conferences
• BE/B.Tech with 5+ years of relevant Industry experience OR Post Grad with 3+ years of relevant experience
• Industrial experience with classification, regression, NLP, clustering, Deep Learning, Neural Networks, Reinforcement Learning
• Experience in Production-grade coding in Python or Java
• Experience in Big Data processing frameworks like Hadoop, SQL, Spark

Good to Have

• 2 or more related publications in quality conferences or journals
• Open source tool building/commits to popular threads
• Experience on Language models and KG building

Perks & Benefits

• A competitive salary including stock grants and a yearly bonus
• A healthy work culture that promotes business impact and personal well-being
• Being part of a force for good in this world

Who Are We?

The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What Will You Do?

We are looking for stellar Applied Researchers to join us and help improve, automate, and scale our data-heavy processes. Our Applied Researchers tackle such diverse and exciting projects as on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Our applied researchers make contributions to cutting edge language modeling techniques with opportunity for publications and patents. If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus
• A healthy work culture that promotes business impact and at the same time highly values your personal well-being
• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Job Responsibilities

• Help define and refine project scopes, goals, and metrics
• Seek scientifically valid solutions that deliver real value to eBay customers
• Carefully measure your output and impact in order to learn and improve over time
• Collaborate with 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
• Engage with the eBay Science community promote standard scientific methodologies and processes in your field
• Present key technical and novel research work in public forums and conferences

Minimum Qualifications

• BE/B.Tech with 5+ years of relevant Industry experience.
• Post Grad from in Computer Science, Statistics and Mathematics with 3+ years of relevant experience.
• Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
• 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

Additional Qualifications

• 2 or more related publications in quality conferences or journals
• Open source tool building/commits to popular threads.
• Experience on Language models and KG building