Staff Machine Learning Engineer

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

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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.

About the Role

At eBay Risk & Compliance plays a critical role in protecting the integrity of our global marketplace and ensuring trust for millions of buyers and sellers worldwide. Our mission spans fraud prevention regulatory compliance financial crime abuse detection and policy enforcementoperating at massive scale and under constantly evolving regulatory requirements.

We are seeking a Senior Staff Machine Learning Engineer to serve as a technical leader within the Risk & Compliance organization. This role is responsible for driving the architecture and delivery of end-to-end AI systems with a strong emphasis on Generative AI and agentic AI to address complex high-impact risk problems across the platform.

This is a senior technical role with significant autonomy and influence requiring deep hands-on expertise strategic thinking and the ability to lead initiatives that span multiple teams and domains.

Primary Job Responsibilities

As a Senior Staff Machine Learning Engineer in Risk & Compliance you will operate as a technical authority and multiplier. Your responsibilities include but are not limited to:

• Own and drive the technical vision for large-scale ML and AI systems supporting fraud detection risk assessment compliance enforcement and policy automation.
  

• Architect and deliver end-to-end AI solutions from data strategy and feature engineering through model training deployment and real-time or batch inference.
  

• Lead the design and implementation of Generative AI and agentic AI systems including LLM-based decision support autonomous investigation agents workflow orchestration and human-in-the-loop systems.
  

• Translate ambiguous regulatory policy and business requirements into scalable reliable and explainable ML architectures.
  

• Design and optimize high-throughput ML and data pipelines operating on massive heterogeneous datasets across distributed systems.
  

• Partner closely with applied researchers policy teams legal operations and platform engineering to ensure AI solutions are effective compliant and production-ready.
  

• Act as a technical owner across multiple initiatives setting architectural standards reviewing designs and influencing long-term platform direction.
  

• Drive MLOps best practices including model lifecycle management automated testing monitoring retraining and governance.
  

• Ensure systems meet risk compliance and responsible AI requirements including robustness auditability fairness and transparency.
  

• Mentor senior engineers and ML practitioners raising the technical bar and fostering a culture of engineering excellence.
  

Required Skills and Experience

• Bachelors Masters or PhD in Computer Science or a related technical field or equivalent practical experience.
  

• 8 years of industry experience building deploying and operating machine learning systems at scale.
  

• Demonstrated success delivering end-to-end ML and AI solutions in production including ownership of system architecture and long-term evolution.
  

• Deep expertise in Machine Learning Deep Learning and NLP with hands-on experience in Generative AI (LLMs RAG prompt engineering evaluation).
  

• Experience designing or implementing agentic AI systems such as autonomous agents tool-using agents multi-step reasoning or decision orchestration frameworks.
  

• Strong background in distributed systems and large-scale data processing (e.g. Spark Hadoop streaming platforms).
  

• Proficiency in Python and at least one additional language such as Java or Scala.
  

• Excellent system design skills with a track record of building scalable reliable and maintainable production systems.
  

• Experience with MLOps including CI/CD for ML model monitoring performance tracking and governance workflows.
  

• Proven ability to lead through influence communicate complex ideas clearly and collaborate effectively across engineering product and non-technical stakeholders.
  

Nice to Have

• Experience applying ML or AI to fraud detection financial crime abuse prevention or regulatory compliance.

• Hands-on experience deploying LLMs on GPU-based or distributed inference infrastructure.

• Prior experience in large-scale marketplaces payments or consumer-facing platforms.

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.

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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 you have a need that requires accommodation please contact us at. 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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