Applied Researcher-2 jobs at Ebay in India, Bengaluru

This is an opportunity to:

• Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering
• Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage
• Influence how customers will interact with shipping AI systems in the future and drive AI technology evolution and adoption
• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy state of the art AI models
• Deploy big data technology and large scale data pipelines
• Drive marketplace revenue, margin and customer delight by driving lower shipping costs, faster delivery speed and accurate product classifications for international shipments

Qualifications

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI
• Experience leading a nimble applied science team, preferably in a ML/AI technology environment
• Experience with using cloud services, big data pipelines and databases
• Experience in Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Models
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high-volume traffic webapp development in an industrial setting
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

What you will accomplish:

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users

• Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a global team of applied researchers and ML engineers

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Publish research work in Tier 1 conferences as well as write IP and tech blogs

What you will bring:

• BS in Computer Science or related area with 5+ years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred.

• Experience with building personalized recommender systems or other forms of personalization technology

• Python and PyTorch framework

• Hands on engineering skills to build and deploy ML models in production on prem or using cloud services

• Experience in Java/Scala is a plus

• Experience with big data pipelines (Hadoop, Spark) is a plus

• Experience with Large Language Models (LLMs), prompt engineering, and GenAI coding assistants is a plus

Links to some of our previous work:

• (GenAI Agentic Platform)

What you will accomplish:

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users

• Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a global team of applied researchers and ML engineers

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Publish research work in Tier 1 conferences as well as write IP and tech blogs

What you will bring:

• BS in Computer Science or related area with 5+ years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred

• Experience with building personalized recommender systems or other forms of personalization technology

• Python and PyTorch framework

• Hands on engineering skills to build and deploy ML models in production on prem or using cloud services

• Experience in Java/Scala is a plus

• Experience with big data pipelines (Hadoop, Spark) is a plus

• Experience with Large Language Models (LLMs), prompt engineering, and GenAI coding assistants is a plus

Links to some of our previous work:

• (GenAI Agentic Platform)

What You Will Accomplish:

• Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support eBay’s business operations and customer experiences.
• Design and deploy high-performance APIs and data pipelines that seamlessly integrate machine learning models to extract valuable insights
• Design and implement highly configurable, metadata-driven platforms to enable seamless ingestion of attributes, rules, models, policies, and derived aggregates.
• Develop machine learning models and Gen AI tools to generate insights and improve customer experiences across eBay.
• Partner with architects, business leaders, and industry experts to devise strategies and scalable solutions.
• Be responsible for the entire software lifecycle, including design, development, testing, and experimentation.
• Foster a collaborative team environment by mentoring junior members, guiding them through projects to achieve transformed outcomes.

What You Will Bring:

• Prefer Technical degree with 8+ years of relevant software development experience.
• Strong hands on Machine Leaning experience, AI/ML/Gen AI, LLM's and proven experience in building and running AI/ML/GenAI models in production environments.
• Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like PyTorch and TensorFlow.
• Demonstrated experience in applying AI/ML techniques to build and run models in production environments.
• Proven experience with APIs and Distributed Systems, building and consuming horizontally scalable RESTful APIs, GraphQL, and distributed systems.
• Hands-on experience with technologies like Spark, Flink, and Kafka with practical experience in their use.
• Strong understanding of SQL, NoSQL, and sophisticated data modeling techniques.
• Hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) for building and optimizing large-scale data solutions.
• Strong data modeling skills, encompassing both SQL and NoSQL environments

What you will accomplish:

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users

• Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a global team of applied researchers and ML engineers

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Publish research work in Tier 1 conferences as well as write IP and tech blogs

What you will bring:

• BS in Computer Science or related area with 5+ years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred.

• Experience with building personalized recommender systems or other forms of personalization technology

• Python and PyTorch framework

• Hands on engineering skills to build and deploy ML models in production on prem or using cloud services

• Experience in Java/Scala is a plus

• Experience with big data pipelines (Hadoop, Spark) is a plus

• Experience with Large Language Models (LLMs), prompt engineering, and GenAI coding assistants is a plus

Links to some of our previous work:

• (GenAI Agentic Platform)

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

• 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

• 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

• ​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