Resume and JobRESUME AND JOB
eBay Inc. logo

Director, Applied Research T28

eBay Inc.

Director, Applied Research T28

eBay Inc. logo

eBay Inc.

full-time

Posted: December 22, 2025

Number of Vacancies: 1

Job Description

Director, Applied Research T28

Location: Bengaluru, India

Category: Engineering

About the Role

As Director, Applied Research T28 in eBay's Product Knowledge team in Bengaluru, India, you will lead high-impact research initiatives at the intersection of applied science, scalable engineering, and e-commerce domain expertise. eBay's Product Knowledge is a vast Big Data system encompassing listings, transactions, products, knowledge graphs, and more, powering the global marketplace that connects millions of buyers and sellers across 190+ markets. You will set the vision for AI-driven innovations like taxonomy evolution, multimodal understanding, and dynamic knowledge graphs, ensuring seamless transition to production systems that enhance customer experiences and drive business outcomes in online commerce.

Key Responsibilities

  • Define and own the applied research strategy for the Product Knowledge Science group
  • Identify emerging research areas like AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment
  • Partner with Product and Engineering leadership to set research roadmaps and deliver measurable business impact
  • Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers
  • Foster a culture of innovation, scientific rigor, diversity, and technical excellence
  • Oversee design, development, and deployment of ML/AI systems for entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization
  • Ensure best practices in experimentation, evaluation, and productionization of ML models
  • Promote open innovation through contributions to conferences, patents, and open-source initiatives
  • Collaborate with partner teams to integrate applied research into eBay's end-user products
  • Influence senior stakeholders with data-driven recommendations and thought leadership
  • Present key technical and novel research work in public forums and conferences

Required Qualifications

  • M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field
  • 12+ years of relevant industry experience in applied research or AI/ML
  • 3+ years in people and project leadership roles managing teams
  • Industrial experience with ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning/Neural Networks, or Reinforcement Learning
  • Experience managing cross-functional research or AI teams in e-commerce or similar domains
  • Ability to bridge long-term technology vision with short-term delivery goals
  • Strong communicator with track record of influencing senior leadership

Preferred Qualifications

  • 5 or more related publications/patents in quality conferences or journals
  • Open source tool building/commits to popular ML or data science projects
  • Experience with Language models and Knowledge Graph building
  • Domain expertise in e-commerce product data, entity resolution, or taxonomy systems
  • Proven track record of deploying AI models to production in large-scale marketplaces

Required Skills

  • Machine Learning architecture and deployment optimization
  • Deep Learning / Neural Networks
  • Natural Language Processing (NLP)
  • Knowledge Graph construction and enrichment
  • Entity resolution and product normalization
  • Taxonomy generation and evolution
  • Multimodal AI (image + text understanding)
  • Classification, regression, clustering
  • Reinforcement Learning
  • Big Data analytics and scalable engineering
  • Team leadership and mentoring
  • Cross-functional collaboration with Product, Engineering, and Business teams
  • Strategic vision setting and roadmap planning
  • Scientific experimentation and model evaluation
  • Stakeholder influence and communication
  • Open-source contributions and patent development

Benefits & Perks

  • Competitive salary with stock grants and yearly bonus
  • Healthy work culture promoting business impact and personal well-being
  • Opportunities to contribute to a force for good, supporting employees, customers, and global communities
  • Collaborative environment with passionate innovators in e-commerce technology
  • Professional growth through learning, impact, and team development
  • Equal opportunity employment with accommodations for disabilities
  • Focus on sustainability and economic opportunity via eBay's marketplace platform
  • Access to Big Data systems, knowledge graphs, and cutting-edge ML tools

eBay Inc. is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

12,000,000 - 22,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning architecture and deployment optimizationintermediate
  • Deep Learning / Neural Networksintermediate
  • Natural Language Processing (NLP)intermediate
  • Knowledge Graph construction and enrichmentintermediate
  • Entity resolution and product normalizationintermediate
  • Taxonomy generation and evolutionintermediate
  • Multimodal AI (image + text understanding)intermediate
  • Classification, regression, clusteringintermediate
  • Reinforcement Learningintermediate
  • Big Data analytics and scalable engineeringintermediate
  • Team leadership and mentoringintermediate
  • Cross-functional collaboration with Product, Engineering, and Business teamsintermediate
  • Strategic vision setting and roadmap planningintermediate
  • Scientific experimentation and model evaluationintermediate
  • Stakeholder influence and communicationintermediate
  • Open-source contributions and patent developmentintermediate

Required Qualifications

  • M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field (experience)
  • 12+ years of relevant industry experience in applied research or AI/ML (experience)
  • 3+ years in people and project leadership roles managing teams (experience)
  • Industrial experience with ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning/Neural Networks, or Reinforcement Learning (experience)
  • Experience managing cross-functional research or AI teams in e-commerce or similar domains (experience)
  • Ability to bridge long-term technology vision with short-term delivery goals (experience)
  • Strong communicator with track record of influencing senior leadership (experience)

Preferred Qualifications

  • 5 or more related publications/patents in quality conferences or journals (experience)
  • Open source tool building/commits to popular ML or data science projects (experience)
  • Experience with Language models and Knowledge Graph building (experience)
  • Domain expertise in e-commerce product data, entity resolution, or taxonomy systems (experience)
  • Proven track record of deploying AI models to production in large-scale marketplaces (experience)

Responsibilities

  • Define and own the applied research strategy for the Product Knowledge Science group
  • Identify emerging research areas like AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment
  • Partner with Product and Engineering leadership to set research roadmaps and deliver measurable business impact
  • Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers
  • Foster a culture of innovation, scientific rigor, diversity, and technical excellence
  • Oversee design, development, and deployment of ML/AI systems for entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization
  • Ensure best practices in experimentation, evaluation, and productionization of ML models
  • Promote open innovation through contributions to conferences, patents, and open-source initiatives
  • Collaborate with partner teams to integrate applied research into eBay's end-user products
  • Influence senior stakeholders with data-driven recommendations and thought leadership
  • Present key technical and novel research work in public forums and conferences

Benefits

  • general: Competitive salary with stock grants and yearly bonus
  • general: Healthy work culture promoting business impact and personal well-being
  • general: Opportunities to contribute to a force for good, supporting employees, customers, and global communities
  • general: Collaborative environment with passionate innovators in e-commerce technology
  • general: Professional growth through learning, impact, and team development
  • general: Equal opportunity employment with accommodations for disabilities
  • general: Focus on sustainability and economic opportunity via eBay's marketplace platform
  • general: Access to Big Data systems, knowledge graphs, and cutting-edge ML tools

Target Your Resume for "Director, Applied Research T28" , eBay Inc.

Get personalized recommendations to optimize your resume specifically for Director, Applied Research T28. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Director, Applied Research T28" , eBay Inc.

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

eBay Inc.E-commerceEngineeringBengaluruIndiaEngineering

Related Jobs You May Like

No related jobs found at the moment.

eBay Inc. logo

Director, Applied Research T28

eBay Inc.

Director, Applied Research T28

eBay Inc. logo

eBay Inc.

full-time

Posted: December 22, 2025

Number of Vacancies: 1

Job Description

Director, Applied Research T28

Location: Bengaluru, India

Category: Engineering

About the Role

As Director, Applied Research T28 in eBay's Product Knowledge team in Bengaluru, India, you will lead high-impact research initiatives at the intersection of applied science, scalable engineering, and e-commerce domain expertise. eBay's Product Knowledge is a vast Big Data system encompassing listings, transactions, products, knowledge graphs, and more, powering the global marketplace that connects millions of buyers and sellers across 190+ markets. You will set the vision for AI-driven innovations like taxonomy evolution, multimodal understanding, and dynamic knowledge graphs, ensuring seamless transition to production systems that enhance customer experiences and drive business outcomes in online commerce.

Key Responsibilities

  • Define and own the applied research strategy for the Product Knowledge Science group
  • Identify emerging research areas like AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment
  • Partner with Product and Engineering leadership to set research roadmaps and deliver measurable business impact
  • Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers
  • Foster a culture of innovation, scientific rigor, diversity, and technical excellence
  • Oversee design, development, and deployment of ML/AI systems for entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization
  • Ensure best practices in experimentation, evaluation, and productionization of ML models
  • Promote open innovation through contributions to conferences, patents, and open-source initiatives
  • Collaborate with partner teams to integrate applied research into eBay's end-user products
  • Influence senior stakeholders with data-driven recommendations and thought leadership
  • Present key technical and novel research work in public forums and conferences

Required Qualifications

  • M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field
  • 12+ years of relevant industry experience in applied research or AI/ML
  • 3+ years in people and project leadership roles managing teams
  • Industrial experience with ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning/Neural Networks, or Reinforcement Learning
  • Experience managing cross-functional research or AI teams in e-commerce or similar domains
  • Ability to bridge long-term technology vision with short-term delivery goals
  • Strong communicator with track record of influencing senior leadership

Preferred Qualifications

  • 5 or more related publications/patents in quality conferences or journals
  • Open source tool building/commits to popular ML or data science projects
  • Experience with Language models and Knowledge Graph building
  • Domain expertise in e-commerce product data, entity resolution, or taxonomy systems
  • Proven track record of deploying AI models to production in large-scale marketplaces

Required Skills

  • Machine Learning architecture and deployment optimization
  • Deep Learning / Neural Networks
  • Natural Language Processing (NLP)
  • Knowledge Graph construction and enrichment
  • Entity resolution and product normalization
  • Taxonomy generation and evolution
  • Multimodal AI (image + text understanding)
  • Classification, regression, clustering
  • Reinforcement Learning
  • Big Data analytics and scalable engineering
  • Team leadership and mentoring
  • Cross-functional collaboration with Product, Engineering, and Business teams
  • Strategic vision setting and roadmap planning
  • Scientific experimentation and model evaluation
  • Stakeholder influence and communication
  • Open-source contributions and patent development

Benefits & Perks

  • Competitive salary with stock grants and yearly bonus
  • Healthy work culture promoting business impact and personal well-being
  • Opportunities to contribute to a force for good, supporting employees, customers, and global communities
  • Collaborative environment with passionate innovators in e-commerce technology
  • Professional growth through learning, impact, and team development
  • Equal opportunity employment with accommodations for disabilities
  • Focus on sustainability and economic opportunity via eBay's marketplace platform
  • Access to Big Data systems, knowledge graphs, and cutting-edge ML tools

eBay Inc. is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

12,000,000 - 22,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning architecture and deployment optimizationintermediate
  • Deep Learning / Neural Networksintermediate
  • Natural Language Processing (NLP)intermediate
  • Knowledge Graph construction and enrichmentintermediate
  • Entity resolution and product normalizationintermediate
  • Taxonomy generation and evolutionintermediate
  • Multimodal AI (image + text understanding)intermediate
  • Classification, regression, clusteringintermediate
  • Reinforcement Learningintermediate
  • Big Data analytics and scalable engineeringintermediate
  • Team leadership and mentoringintermediate
  • Cross-functional collaboration with Product, Engineering, and Business teamsintermediate
  • Strategic vision setting and roadmap planningintermediate
  • Scientific experimentation and model evaluationintermediate
  • Stakeholder influence and communicationintermediate
  • Open-source contributions and patent developmentintermediate

Required Qualifications

  • M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field (experience)
  • 12+ years of relevant industry experience in applied research or AI/ML (experience)
  • 3+ years in people and project leadership roles managing teams (experience)
  • Industrial experience with ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning/Neural Networks, or Reinforcement Learning (experience)
  • Experience managing cross-functional research or AI teams in e-commerce or similar domains (experience)
  • Ability to bridge long-term technology vision with short-term delivery goals (experience)
  • Strong communicator with track record of influencing senior leadership (experience)

Preferred Qualifications

  • 5 or more related publications/patents in quality conferences or journals (experience)
  • Open source tool building/commits to popular ML or data science projects (experience)
  • Experience with Language models and Knowledge Graph building (experience)
  • Domain expertise in e-commerce product data, entity resolution, or taxonomy systems (experience)
  • Proven track record of deploying AI models to production in large-scale marketplaces (experience)

Responsibilities

  • Define and own the applied research strategy for the Product Knowledge Science group
  • Identify emerging research areas like AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment
  • Partner with Product and Engineering leadership to set research roadmaps and deliver measurable business impact
  • Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers
  • Foster a culture of innovation, scientific rigor, diversity, and technical excellence
  • Oversee design, development, and deployment of ML/AI systems for entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization
  • Ensure best practices in experimentation, evaluation, and productionization of ML models
  • Promote open innovation through contributions to conferences, patents, and open-source initiatives
  • Collaborate with partner teams to integrate applied research into eBay's end-user products
  • Influence senior stakeholders with data-driven recommendations and thought leadership
  • Present key technical and novel research work in public forums and conferences

Benefits

  • general: Competitive salary with stock grants and yearly bonus
  • general: Healthy work culture promoting business impact and personal well-being
  • general: Opportunities to contribute to a force for good, supporting employees, customers, and global communities
  • general: Collaborative environment with passionate innovators in e-commerce technology
  • general: Professional growth through learning, impact, and team development
  • general: Equal opportunity employment with accommodations for disabilities
  • general: Focus on sustainability and economic opportunity via eBay's marketplace platform
  • general: Access to Big Data systems, knowledge graphs, and cutting-edge ML tools

Target Your Resume for "Director, Applied Research T28" , eBay Inc.

Get personalized recommendations to optimize your resume specifically for Director, Applied Research T28. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Director, Applied Research T28" , eBay Inc.

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

eBay Inc.E-commerceEngineeringBengaluruIndiaEngineering

Related Jobs You May Like

No related jobs found at the moment.