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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.

**Looking to hire for our San Jose office location, hybrid schedule 3 days a week in office**

About the Team and Role:

Global Payments and Risk is at the forefront of innovation, integrating ground breaking technologies into our products and services. We are dedicated to using the power of machine learning to solve real-world problems, improve user experiences, and drive business outcomes. Join us in shaping the future with your expertise and passion for technology.

We are seeking a hardworking and motivated Software Engineer with a strong background in software development and hands-on experience in machine learning with experience and a track record of applying machine learning techniques to build scalable software solutions.

You will be part of a collaborative team that values creativity and resourcefulness, working together to tackle sophisticated challenges.

What you will accomplish:

• Design, develop, and maintain software systems with a focus on machine learning applications.

• Collaborate with data scientists and engineers to integrate machine learning models into our products.

• Implement and optimize machine learning algorithms to improve performance and scalability.

• Participate in the full software development lifecycle, including design, coding, testing, deployment, and maintenance.

• Write clean, efficient, and well-documented code and contribute to the architecture and design of new and existing systems.

• Work closely with product managers and other partners to understand business needs and translate them into technical solutions, participate in code reviews to ensure standard methodologies.

• Stay ahead of the latest machine learning advancements and industry trends.

What you will bring:

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field.

• 3+ years of software development experience, with a focus on machine learning applications.

• Proficiency in programming languages such as Python, Java, or C++.

• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Familiarity with data processing and analytics tools.

• Strong understanding of software engineering standard processes for the full development life cycle.

• Excellent problem-solving skills and the ability to work in a fast-paced environment, strong communication skills and the ability to work effectively in a collaborative team setting.

#LI-BB1

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

$114,800 - $176,550

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 [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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