Senior Machine Learning Engineer (d/f/m)

Posted 5 Days Ago
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Kleinmachnow, Brandenburg
In-Office
Senior level
eCommerce • Retail
The Role
This role involves designing, maintaining, and optimizing data pipelines and machine learning processing. Responsibilities include project management, collaboration, and knowledge sharing within the organization.
Summary Generated by Built In

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.

About the team and the role:

Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
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!
 

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

  • Building a pipeline that processes up to billions of items; frequently employing ML models on these datasets

  • Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items

  • Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components

  • Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality

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

What you will accomplish:
  • Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

  • Optimize software performance to achieve the required throughput and / or latency

  • Work with your manager, peers, and Product Managers to scope projects and features

  • Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact

  • Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

  • Take active part in knowledge sharing across the organization - both teaching and learning from others

What you will bring:
  • B.Sc. or M.Sc. in Computer Science or an equivalent professional experience

  • 7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines

  • Full proficiency in Python; additional hands-on experience with Java is a plus!

  • Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design

  • Experience in designing and operating Big Data processing pipelines, such as: Hadoop, Spark, Hive

Preferred Qualifications as a plus:
  • Track record of impactful publications and/or patents in machine learning or related areas.

  • Contributions to open-source ML tools or frameworks.

  • Experience with modern large language models, graph-based ML, or knowledge graph construction.

  • Strong presence in scientific communities through talks, panels, or organizing roles.

#LI-CH2

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
Hive
Java
Python
Spark
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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world.

We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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