Senior Manager, Applied Research

Location: Bengaluru, India

Category: Engineering

About the Role

eBay's Shipping team is revolutionizing the e-commerce experience by powering sophisticated machine learning models that predict delivery dates, optimize shipping costs, and model complex carrier networks at global scale. As Senior Manager, Applied Research in Bengaluru, you will lead a team of elite applied researchers and engineers, harnessing cutting-edge ML, deep learning, NLP, large language models, and AI to build a next-generation shipping intelligence platform. This role sits at the intersection of innovation and impact, enabling seamless post-purchase journeys that build trust and satisfaction for millions of buyers and sellers across 190+ markets.

Key Responsibilities

• Lead and manage a team of applied researchers and engineers specializing in NLP, large language models, AI, recommender systems, and ML production engineering
• Drive personalization strategy for eBay recommendations and influence homepage look and feel
• Influence customer interactions with shipping AI systems and drive AI technology evolution and adoption
• Work with unique large datasets of unstructured multimodal data from eBay's vast inventory and millions of users
• Develop and deploy state-of-the-art AI models for shipping intelligence
• Deploy big data technology and large-scale data pipelines for global e-commerce operations
• Optimize shipping costs, delivery speeds, and product classifications for international shipments
• Collaborate with product managers, operations, and analytics leaders in the globally distributed Shipping organization
• Solve complex logistics challenges like predicting delivery dates and modeling carrier networks
• Leverage advanced MLOps for high-volume, low-latency services at eBay scale
• Drive marketplace revenue, margins, and customer delight through efficient shipping solutions

Required 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.)
• Experience in high-volume traffic webapp development in an industrial setting

Preferred Qualifications

• Previous publications experience with academic papers, patents/IP, or technical blogs
• Expertise in recommender systems and ML production engineering
• Experience deploying AI models at massive e-commerce scale
• Background in logistics, shipping optimization, or multimodal data processing
• Proven track record hiring top AI/ML talent

Required Skills

• Machine Learning and Deep Learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Recommender Systems
• AI Model Development and Deployment
• MLOps and Production Engineering
• Big Data Pipelines and Cloud Services
• Scala or Java Software Development
• High-Volume Web Application Development
• Team Leadership and Talent Management
• Logistics and Shipping Optimization
• Multimodal Unstructured Data Processing
• Carrier Network Modeling
• Personalization Strategies
• Cross-Functional Collaboration
• E-commerce Scale Problem Solving
• Predictive Analytics for Delivery

Benefits & Perks

• Comprehensive health insurance and wellness programs
• Equity grants and employee stock purchase plans
• Flexible work arrangements including hybrid options in Bengaluru
• Generous parental leave and family support benefits
• Professional development and learning stipends
• Retirement savings plans with company matching
• Paid time off, holidays, and volunteer opportunities
• Employee assistance programs for mental health
• Global mobility and career growth in e-commerce tech

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