At eBay, were 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. Were 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: eBay, Inc. seeks Applied Researcher 3 in New York, NY

What you will accomplish: Use state-of-the-art big data and machine learning tools to experiment with big data to produce actionable insights and elegant solutions for large-scale problems. Mine and analyze massive amounts of unique internal and external data to gain deep business knowledge and insight into customer activity and usage behaviors. Discover patterns and create features necessary to build machine learning models that match eBay’s inventory with customers’ demands. Build quick prototypes and data visualization tables during preliminary data exploration procedures to decide on the feasibility and direction of proposed solutions. Develop the core text-based deep learning models used to generate recommendations for eBay users. Work with data scientists, engineers, and multi-functional teams to produce end-to-end production-ready solutions. Provide technical leadership and mentoring to other team members for translation of business problems into machine learning algorithms. Partial telecommuting may be permitted from within a commutable distance.

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus three years of experience in the job offered, as a researcher or a related occupation.

Special Skill Requirements:

1. Python (3 years)

2. Machine Learning (3 years)

3. Recommendation Systems (3 years)

4. Natural Language Processing (NLP) (3 years)

5. Transformer Models (3 years)

6. Large Language Models (LLMs) (2 years)

7. BERT (2 years)

8. Deep Learning Model Fine-tuning (3 years)

9. XGboost (3 years)

10. Statistical Modeling (3 years)

11. Predictive Modeling (3 years)

Salary: $141,170-261,800 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 eBays commitment to ensuring digital accessibility for people with disabilities.

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