Staff ML Engineer Advertising

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.

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 role & team:

Advertising is one of the fastest growing areas in eBay defining the future of our company. As the digital advertising industry rapidly evolves ecommerce advertisers are increasingly finding greater value with eBay. This shift away from traditional platforms like Google and Facebook presents a tremendous opportunity for us. Our advertising initiatives improve eBays ecommerce by helping sellers move inventory and surfacing high-quality items for buyers.

Our team is at the forefront of building end-to-end ML and data-driven advertising systems that power both ad serving and advertiser-side optimization. We develop sophisticated recommendation models to drive marketplace monetization and build relevant buyer experiences. Additionally we provide intelligent automated mentorship to help advertisers optimize their targeting bids budgets inventory and business goals through advanced machine learning techniques including GenAI. This high-impact fast-growing area demands the use of massive datasets and modern ML methods across ranking forecasting optimization and experimentation.

As a Machine Learning Engineer within our Advertising team you will contribute significantly to designing machine learning models and algorithms directly affecting our advertising systems.

What You Will Accomplish

• Lead End-to-End ML Systems at Scale: Architect build and evolve large-scale machine learning systems powering ad ranking recommendations and advertiser optimization with ownership over system design reliability and long-term technical direction.

• Drive Strategic Data-Informed Decisions: Leverage large-scale production data to identify high-impact opportunities define ambiguous problem spaces and influence product and business strategy through data-driven insights.

• Own and Elevate the ML Lifecycle: Set best practices across the full ML lifecyclefeature engineering model development evaluation deployment and monitoringwhile improving robustness reproducibility and scalability of production pipelines.

• Collaborate Across Functions to Shape Solutions: Partner closely with product engineering and research to translate complex business objectives into scalable ML solutions influencing roadmap and prioritization through technical expertise.

• Optimize System Performance at Scale: Define own and evolve key system metrics (e.g. relevance revenue latency reliability). Lead efforts to improve system efficiency scalability and cost-performance tradeoffs across high-throughput environments.

• Advance ML Innovation in Production: Drive adoption of state-of-the-art approaches (e.g. deep learning GenAI LLM-based systems) and translate modern technology into practical high-impact production systems.

• Provide Technical Leadership and Mentorship: Mentor engineers lead design reviews and set engineering standards. Act as a technical anchor for the team setting a higher standard on ML engineering excellence and experimentation rigor.

What You Will Bring

• Masters or PhD in Computer Science Software Engineering Mathematics or a related field.

• Experiences in building and scaling production-grade ML systems with a strong track record of delivering impactful solutions in complex environments.

• System-Level ML Expertise: Proven ability to design deploy and operate large-scale ML systems including pipelines online services and experimentation frameworks.

• Strong Technical Foundations: Expertise in data structures algorithms and distributed system design with the ability to make high-quality architectural tradeoffs.

• Programming & ML Stack Proficiency: Strong coding skills in Python Scala or similar languages. Hands-on experience with modern ML frameworks (e.g. PyTorch Hugging Face Ray vLLM) and large-scale data processing tools (e.g. Spark Hadoop).

• Data & Analytical Excellence: Exceptional ability to analyze large datasets perform deep dives and translate findings into actionable improvements. Strong SQL skills and experience with experimentation and segmentation.

• Influence & Communication: Excellent communication skills with the ability to articulate complex technical concepts influence partners and drive alignment across teams.

Additional Details

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.

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