Applied Researcher

Bengaluru, India
- Engineering
- R0067902
- Hybrid

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.

**Applied Researcher T24, Product Knowledge Science**

**Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce**

**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**

**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 3+ 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**
- ** 1 or more related publications in quality conferences or journals**
- ** Open source tool building/commits to popular threads.**
- ** Experience on Language models and KG building**

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