Applied Researcher at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Ecommerce, TechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Deep LearningRetrieval SystemsRanking ModelsGenAILLMMLOpsNLPRAGGraph Neural NetworksFew-shot LearningAttention Models

Questions & Answers

Common questions about this position

What education and experience are required for this Applied Researcher role?

A BS in Computer Science or related area with 5+ years of relevant work experience in Machine Learning / AI / NLP / LLM is required; MS or PhD is also acceptable.

What key technical skills are needed for this position?

The role requires expertise in Machine Learning, AI, NLP, and LLM, along with experience in sophisticated ML models like large-scale attention models, graph neural networks, and few-shot learning.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What does the team culture at eBay's Recommendations team look like?

The team consists of passionate thinkers, innovators, and dreamers working together on cutting-edge recommender systems with a global team of applied researchers and ML engineers, in an environment where bold ideas are welcome and everyone can bring their unique selves.

eBay

Global online marketplace for buying and selling

About eBay

eBay is an online marketplace where individuals and businesses can buy and sell a wide range of products, including electronics, fashion, and collectibles. Users can list items for auction or use the 'Buy It Now' option for immediate purchases. eBay stands out from competitors with its vast selection, user-friendly interface, and strong buyer and seller protections, including free shipping on many items. The company's goal is to facilitate seamless transactions while generating revenue through transaction fees, advertising, and subscription services.

San Jose, CaliforniaHeadquarters

1995Year Founded

$6.5MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees