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eBay

MTS-2 SW Engineer - Knowledge Graph

Software Engineer – Knowledge Graph

eBay is a global commerce leader that allows you to shape how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding more than 20 years ago. Here, you can just be yourself, do your best work, and have a meaningful impact on people across the globe. We are looking for people with drive, ideas, and a passion for helping small businesses succeed to help shape the future of eBay—does this sound like you? If so, we’d love to talk to you!

About the Role:

We are looking for a seasoned engineer to help build a large-scale e-commerce knowledge graph system to power a variety of innovative applications. In this role, you will be the technical leader to drive the design and implementation of the data processing and analysis frameworks, and help building machine learning solutions for knowledge graph applications.

About the team

eBay's Structured Data R&Dteam faces challenges no one else has tackled -- we start with data of extraordinarily wide-ranging quality. When in your career will you have the chance to define such an ambitious project and bring it to Production? Join the team in architecting data and knowledge management that enables millions of people to make or supplement their income. Where else can you have that kind of impact on people's lives?

We use programming and machine learning at immense scale to define products, and to establish a myriad of relationships among them (competing, accessory, variation, etc.) and between them and the rest of the world (price guidance, item signed by ), to make selling and buying on eBay increasingly vibrant.

The team uses a wide variety of tools across the stack, including state of the art machine learning technologies including our own proprietary high-performance vector space processing technology. We deploy in a number of frameworks including Docker and Kubernetes, OpenStack and public cloud, as well as highly optimized bare metal installations, and make extensive use of Hadoop and Spark. We also use a number of programming languages including Java, Python, Scala, Go, R, our creativity is not limited by language choice - we are free to choose the best solution to the problem.

We are looking for hardworking, highly motivated, hands-on professionals who can lead and mentor. These robust individuals will help take eBay to the next level through technical innovation and will help drive our technical direction for the next decade.

Responsibilities:

  • Design and implement solutions that address complex business and technology needs for knowledge graph. The problems range from knowledge graph construction, data management and performance evaluation.
  • Build scalable data processing pipelines using Big Data technologies to acquire, analyze and transform knowledge datasets.
  • Participate in cutting edge research in knowledge graph. Help build and evaluate the state-of-the-art techniques to solve challenging problems such as entity linking, semantic matching and knowledge extraction. 
  • Conduct experiments and evaluate the performance of algorithms, investigate false positive/false negatives and implement continuous improvements to the KG ecosystem. 
  • Research, assess, recommend, and develop technologies in the context of eBay’s Marketplace product requirements. Contribute to eBay’s patent portfolio.
  • Work with engineers as well as other cross functional teams to produce end-to-end production-ready solutions.

Requirements:

  • MS/PhD in Computer Science or equivalent, with 5 or more years in software engineering.
  • Proficiency in handling large datasets. Familiarity with Hadoop, Spark. Hands on experiences in building and optimizing Big Data pipelines.
  • Strong mathematical, statistical, and scientific modeling skills.
  • Experience in NLP, predictive analytics, statistical modeling, and coding is a plus. 
  • Self-motivated, passionate for technology, and a strong driver for results and continual improvement.
  • Work well independently and in multi-group cross-discipline environment.
  • A strong technical foundation and strong communication on ideas, reasoning, benefits, costs, and risks to multiple audiences.
  • Domain expertise in one or more e-commerce or cloud infrastructure services a plus.

Benefits:

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work.

To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/

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eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:

EEO is the Law Poster

EEO is the Law Poster Supplement

#LI-RS1

eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

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