Sr. ML 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 role:

The Compliance Engineering team at eBay is focused on prohibited, restricted, and counterfeit compliance detection is dedicated to ensuring that eBay’s marketplace adheres to all relevant regulations and internal policies.

The team develops and maintain advanced, AI-driven tools and scalable backend systems that automatically identify and assess items listed on the platform. By applying sophisticated data models, machine learning algorithms, and rules-based engines, they detect products that may be illegal, harmful, non-compliant with trade regulations, or counterfeit.
 

Overall, this Compliance Engineering team plays a crucial role in maintaining trust in eBay’s platform, safeguarding customers, and upholding the company’s dedication to a fair, safe, and legally compliant marketplace.

What You Will Accomplish:

• Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support eBay’s business operations and customer experiences.

• Design and implement highly configurable, metadata-driven platforms to enable seamless ingestion of attributes, rules, models, policies, and derived aggregates.

• Develop machine learning models and Gen AI tools to generate insights and improve customer experiences across eBay.

• Partner with architects, business leaders, and industry experts to devise strategies and scalable solutions.

• Be responsible for the entire software lifecycle, including design, development, testing, and experimentation.

• Mentor and lead junior team members by setting examples and guiding them toward success.

What You Will Bring:

• Bachelor’s degree in Computer Science or a related field with 5+ years of experience, OR Master’s degree in Computer Science with 4+ years of relevant software development experience.

• Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like PyTorch and TensorFlow.

• Proven experience with APIs and Distributed Systems, building and consuming horizontally scalable RESTful APIs, GraphQL, and distributed systems.

• Hands-on experience with technologies like Spark, Flink, and Kafka with practical experience in their use.

• Strong understanding of SQL, NoSQL, and sophisticated data modeling techniques.

• AI/ML/Gen AI, proven experience in building and running AI/ML/GenAI models in production environments.

#LI-BB1

The base pay range for this position is expected in the range below:

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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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