Principal MTS, Machine Learning T28

Location: Bengaluru, India

Category: Engineering

About the Role

As a Principal MTS, Machine Learning T28 in eBay's Product Knowledge team in Bengaluru, you will architect transformative solutions powering eBay's global e-commerce marketplace. This role sits at the heart of eBay's tech-driven overhaul, leveraging a vast Big Data system of listings, transactions, products, and knowledge graphs to connect millions of buyers and sellers across 190 markets. You will lead the design of scalable data pipelines processing billions of items, integrate advanced ML models for product matching and recommendations, and build low-latency search services that redefine how enthusiasts discover authentic goods on the platform.

Key Responsibilities

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap
• Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure
• Define and lead performance optimization strategies for critical systems
• Collaborate on project scope and define long-term architectural vision
• Develop and champion technical strategies aligned with eBay's e-commerce business objectives
• Lead cross-functional architectural initiatives ensuring coherent solutions across teams
• Establish and champion organization-wide knowledge sharing and best practices
• Architect scalable data pipelines processing billions of eBay listings and integrating ML models
• Design low-latency search/IR services on datasets of hundreds of millions of items
• Craft API designs and drive integration between data layers and customer-facing eBay applications
• Design and run A/B tests in production to measure impact of new functionality on marketplace performance

Required Qualifications

• B.Sc. or M.Sc. in Computer Science or equivalent professional experience
• 10+ years of software design, architecture, and development experience tackling complex problems in backend services and/or data pipelines
• Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, Statistics, and core ML concepts
• Architectural expertise in production-grade systems using Java, Python/Scala
• Architectural expertise in large-scale ML engineering, architecture, deployment, and optimization
• Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark)
• Proven ability to resolve complex architectural challenges in production software systems

Preferred Qualifications

• Executive-level communication and collaboration skills for influencing technical direction
• Experience in e-commerce or marketplace platforms handling billions of listings and transactions
• Background in designing low-latency search and information retrieval services for massive datasets
• Proven track record in A/B testing and performance optimization in production environments
• Experience architecting knowledge graphs and product data systems

Required Skills

• Machine Learning engineering and deployment at scale
• Big Data processing with Hadoop and Spark
• Java, Python, and/or Scala for production systems
• Data Structures and Algorithms
• Object-Oriented Programming and Software Design
• Statistics and core ML concepts
• Architecting scalable data pipelines for billions of items
• Low-latency search and Information Retrieval (IR) services
• API design and integration
• A/B testing and experimentation frameworks
• Performance optimization of critical systems
• Knowledge graphs and product data modeling
• Cross-functional collaboration and leadership
• Executive communication and influence
• Problem-solving complex architectural challenges
• Strategic roadmap planning

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 stipend and learning opportunities
• Retirement savings plans with company matching
• Employee discounts on eBay marketplace purchases
• Sustainability initiatives and volunteer time off

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