Posted:
8/27/2024, 4:28:37 AM
Location(s):
San Jose, California, United States ⋅ California, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Software Engineering
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.
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 talented group of experts in applied research, data analytics, and software engineering. We cultivate an environment of continuous innovation, offering ample opportunities for daring individuals to tackle exciting challenges head-on.
At eBay, our team uses extensive seller and buyer data to extract valuable domain knowledge. By applying sophisticated technologies like Natural Language Processing (NLP), Large Language Models (LLM), and Knowledge Graphs, we develop and deploy solutions to improve eBay's search capabilities. 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 shaping the future of online commerce at eBay.
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 multi-functional teams, and own the development of search retrieval 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.
BS/MS or equivalent in Computer Science/Engineering or a related technical field.
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 NLP is a plus.
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.
$135,200 - $205,700Base 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 [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.
Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.
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Website: https://www.ebay.com/
Headquarter Location: San Jose, California, United States
Employee Count: 10001+
Year Founded: 1995
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Auctions ⋅ E-Commerce ⋅ Internet ⋅ Marketplace ⋅ Retail