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 & Role:

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

The team develops and maintains sophisticated, 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.

As a Staff ML Engineer, you will help lead the technical direction of a next-generation AI and ML platform, while enabling GenAI and LLM-powered applications at enterprise scale.

You will architect systems that power compliance intelligence while also influencing the broader AI platform strategy across eBay. The role is ideal for someone who thrives at the intersection of system architecture, ML infrastructure, and powerful AI innovation.

What You Will Accomplish

Architect & Scale: Design and build robust, scalable systems and low-latency APIs that support high-throughput machine learning applications, including LLM inference and GenAI pipelines.
Platform Ownership: Lead the development of a modern AI platform supporting data prep, model training, serving, monitoring, and observability—built for modular reuse and horizontal scale.
GenAI Enablement: Architect and deploy GenAI systems including retrieval-augmented generation (RAG), vector search, timely engineering frameworks, and GPU inference optimization.
Tooling & Infrastructure: Drive adoption of groundbreaking ML infrastructure—integrating orchestration tools (Kubeflow, Airflow), MLOps workflows (MLflow), and scalable serving layers (Triton, Ray.io, TensorRT, vLLM).
Multi-functional Influence: Align platform capabilities with product, ML science, and compliance engineering teams to deliver unified solutions across domains.
Technical Leadership: Own architectural vision, perform meticulous code reviews, and lead technical deep-dives and spike efforts into emerging tech.
Culture & Mentorship: Mentor engineers across teams, champion engineering excellence, and build a forward-leaning culture of experimentation and delivery velocity.

What You Will Bring

Prefer PhD or MS in Computer Science, Electrical Engineering or related field with 8+ years of experience in software engineering with a focus on large-scale, high-performance distributed systems.
Proven experience designing and scaling AI/ML platforms and services—especially those optimized for large model training and GenAI inference.
Strong programming skills in Python, Java or C, with experience in frameworks like TensorFlow, PyTorch.
Deep understanding of database systems: SQL, NoSQL, vector databases, graph databases. Strong foundation in building data architectures for ML applications.
Experience building and deploying GenAI/LLM systems, including RAG pipelines, custom embeddings, vector indexing, and GPU-accelerated inference.
Familiarity with tools and frameworks including Docker, Kubernetes, Spark, Hadoop, Kafka, MLflow, Airflow, Kubeflow, Nvidia Triton, Nvidia TensorRT, vLLM, Ray.io.

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

$132,000 - $222,100

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 eBays 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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