Are you passionate about Machine Learning, Big Data, and backend system optimization? Here’s an exciting opportunity from eBay, a global e-commerce leader, hiring Machine Learning Engineers (T25) in Bengaluru.
This hybrid role is part of eBay’s Product Knowledge team, where engineers work at the intersection of data, AI, and commerce — building intelligent systems that power product discovery and enhance buyer-seller experiences for over 190 markets worldwide
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🔗 Follow on LinkedInAbout eBay
eBay is more than just an ecommerce marketplace — it’s a global tech platform connecting millions of buyers and sellers. At eBay, innovation meets impact. Whether it’s empowering small businesses or building sustainable practices, eBay continues to redefine what’s possible in online commerce.
About the Role: Machine Learning Engineer (T25)
As a Machine Learning Engineer, you’ll contribute to the Product Knowledge team’s mission of building and scaling intelligent data systems. This role blends software engineering, data engineering, and applied machine learning to solve complex, high-scale problems.
- Location: Bengaluru, India
- Work Mode: Hybrid
- Team: Product Knowledge
- Experience Required: 2+ Years
What You’ll Do
- Build robust, high-performance ML pipelines that process billions of product-related data points.
- Develop real-time services for Search and Information Retrieval (IR) over datasets with hundreds of millions of entries.
- Design clean, scalable APIs and connect data infrastructure with customer-facing systems.
- Collaborate with product managers and peers to define scope and technical strategy.
- Design and execute A/B experiments in production environments to measure real-world impact.
- Drive cross-functional technical efforts and share knowledge across teams.
- Continuously learn and apply the latest in data science, distributed systems, and AI.
What eBay is Looking For
✅ Minimum Qualifications:
- B.Sc. or M.Sc. in Computer Science or equivalent practical experience.
- 2+ years in software engineering or ML pipeline development.
- Strong foundation in DSA, OOP, Software Design, and Core Statistics.
- Proficiency in Java, plus experience in Python or Scala.
- Experience working with Hadoop, Spark, or other Big Data ecosystems.
- Ability to write production-grade, clean, maintainable code.
- Strong problem-solving, communication, and collaboration skills.
➕ Bonus Skills:
- Experience building data-driven backend systems.
- Familiarity with large-scale recommendation systems or search platforms.
- Interest in product knowledge graphs or ecommerce search optimization.
Why Join eBay?
- Competitive Compensation – Includes base salary, stock grants, and annual bonuses.
- Learning Culture – Engineers are empowered to explore, build, and grow.
- Global Impact – Work on systems used by millions globally.
- Collaboration-First – Work in a diverse team of innovators and problem-solvers.
- Focus on Wellbeing – Balance work, personal growth, and wellness through flexible benefits and culture.
How to Apply?
Tip: Tailor your resume around data pipelines, ML engineering, and backend system design.
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