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eBay

Principal MTS, Machine Learning T28

Reposted 23 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Expert/Leader
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Expert/Leader
Lead initiatives in data pipeline architecture, ML framework evolution, and performance optimization, collaborating across teams to align technical solutions with business goals.
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At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!

Who Are We?

​The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What Will You Do

We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

  • Architect scalable data pipelines processing billions of items, 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 applications. 

  • Design and run A/B tests in production to measure new functionality impact.

 If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

​Job 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 business objectives.

  • Lead cross-functional architectural initiatives, ensuring coherent solutions.

  • Establish and champion organization-wide knowledge sharing and best practices.

Minimum Qualifications

  • Passion and commitment for technical excellence 

  • B.Sc. or M.Sc. in Computer Science or an 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.

  • Executive-level communication and collaboration skills for influencing technical direction.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

 

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Top Skills

Hadoop
Java
Python
Scala
Spark

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