Applied Researcher-2 at eBay

Bengaluru, Karnataka, India

eBay Logo
Not SpecifiedCompensation
Senior (5 to 8 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

Deep Learning
Machine Learning
NLP
LLMs
GenAI
RAG
MLOps
Graph Neural Networks
Few-Shot Learning
Attention Models
Retrieval Systems
Ranking Models

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

Benefits

Health Insurance
401(k) Company Match
Paid Vacation
Parental Leave

Risks

Niche e-commerce platforms like StockX and Poshmark may draw away eBay's customers.
Social media platforms with shopping features could divert traffic from eBay.
Direct-to-consumer brands bypassing marketplaces may reduce eBay's seller base.

Differentiation

eBay offers a unique auction-style listing alongside 'Buy It Now' options.
The platform provides robust buyer and seller protections, enhancing trust in transactions.
eBay's vast product selection includes new, refurbished, and second-hand items.

Upsides

eBay's acquisition of GSI Commerce strengthens its position as a global commerce partner.
The rise of social commerce offers eBay opportunities to integrate social shopping features.
Increased focus on sustainability aligns with eBay's refurbished and second-hand product categories.

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