MTS 2, Software Engineer

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:

Join the Knowledge Graph (KG) team at eBay, where you'll be at the forefront of driving eBay's core business forward across diverse application domains including search retrieval, recommendation systems, and selling optimization. As part of our team, you'll collaborate with a dedicated group of experts in applied research, data analytics, and software engineering. We cultivate an environment of continuous innovation, offering ample opportunities for ambitious individuals to tackle exciting challenges head-on.

At eBay, our team harnesses the power of vast selling and buyer data to extract valuable domain knowledge. Maximising innovative technologies such as Natural Language Processing (NLP), Large Language Models (LLM) and Knowledge Graph embedding, we develop and deploy sophisticated solutions to improve eBay's search functionalities. If you're passionate about pushing the boundaries of technology and driving tangible impact in a dynamic e-commerce environment, we invite you to join us in crafting the future of online commerce at eBay.

What you will accomplish:

• Develop scalable data pipelines using Big Data technologies to acquire, analyze, and transform extensive datasets for e-commerce Knowledge Graph construction.

• Collaborate with data scientists, researchers, and cross-functional teams, and own the development of production-ready search and recommendation applications.

• Design and implement high-performance services, integrating with underlying data infrastructures including graph databases, embedding and key-word search indexes.

• Evaluate and supervise the performance of services and applications, conceiving and implementing continuous improvements.

What you will bring:

• BS/MS in Computer Science/Engineering or a related technical discipline.

• Strong understanding of computer science fundamentals, data structures, and algorithms. Proficient programming skills in Java and Python.

• Experience with large datasets and related technologies, including SQL, Hadoop, and Spark.

• Experience in knowledge graphs, machine learning, and natural language processing is a plus.

• Ability to adapt to emerging challenges and execute under ambiguity.

• Strong interpersonal skills and an appreciation for diversity in teamwork.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

$149,200 - $234,850

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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 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.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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