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Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
eBay, Inc. seeks Applied Researcher 1 in San Francisco, CA
Job Duties: Collect and analyze petabytes of seller and buyer data utilizing experience with big data processing (e.g. Hadoop, SQL, Spark} and with Python or R, and Java, Scala, and C++ to understand patterns and trends for customer activity and usage behaviors. Utilize findings to build prototypes and perform preliminary explorations to transform data into useful reports, targeting algorithms, and model features. Create machine learning models and data visualization tables to deliver insightful yet practical solutions to improve personalized recommendations based on user experience. Develop new deep learning models to solve novel tasks and improve existing model performance for large-scale computer vision systems in areas including product understanding. Design the core text-based deep learning models used to generate recommendations for eBay users. Work with multiple teams to help promote standard scientific methodologies and processes in support of machine learning algorithms powering Al-generated search engine optimization processes. Present key technical and novel research work in public forums and conferences. Apply experience with data classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, and online advertising to influence the design and scope of machine learning functions. Partial telecommuting permitted from within a commutable distance.
Minimum Requirements: Master’s degree, or foreign equivalent, in Statistics, Computer Science, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
Special Skill Requirements:
1. Deep learning
2. Natural language processing
3. Machine learning
4. Statistics
5. Distributed systems and databases
6. Data structure and algorithms
7. Python
8. Hadoop/Spark
9. Data mining
10. Information Retrieval
Salary: $180,128.00-234,850.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
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.
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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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