At e Bay, 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.

Machine Learning Engineer (T25), Product Knowledge

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

Who Are We?

The Product Knowledge team is at the epicenter of e Bay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using e Bay’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 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!

e Bay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - e Bay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Job Responsibilities

• Build Machine Learning models and data pipelines to deliver insightful yet practical solutions

• 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

Minimum Qualifications

• Passion and commitment for technical excellence

• B.Sc. or M.Sc. in Computer Science or an equivalent professional experience

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

• A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge

• Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related

• Experience in production-grade coding in Java, and Python/Scala

• Experience in the close examination of data and computation of statistics

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

• Excellent verbal and written communication and collaboration skills

Additional Details

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 talent@ebay.com. 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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