Software Engineer, ML Systems at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, TechnologyIndustries

Requirements

MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in Engineering / Machine Learning / AI
Experience building large scale distributed applications and expertise in any OO language (Scala, Java, etc.)
Experience building with no sql databases and key value stores (MongoDB, Redis, etc)
Generalist with a can do attitude and willingness to learn/pick up new skill sets as needed
Experience with big data pipelines (Hadoop, Spark) is a plus
Experience in AI applied research and industrial recommendation systems is a plus
Experience with Large Language Models (LLMs) and prompt engineering is a plus

Responsibilities

Influence how people will interact with eBay’s recommender systems in the future, and how recommender systems technology will evolve
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 state-of-the-art AI models to production which have direct measurable impact on eBay buyers
Deploy big data technology and large scale data pipelines
Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Skills

Deep Learning

Retrieval Systems

Ranking Models

GenAI

LLM

MLOps

NLP

RAG

GCP

Vertex AI

Recommender Systems

Machine Learning

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