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:

• Build Production ML Systems:Design develop and deploy scalable machine learning models and services for ad ranking recommendation and advertiser optimization.

• Drive Data-Informed Decisions:Analyze large-scale production data to uncover insights define problem spaces and identify high-impact ML opportunities.

• Own the ML Lifecycle:From feature engineering and model training to evaluation deployment and monitoring in production environments.

• Collaborate multi-functionally: Partner with product managers applied researchers and engineers to translate business goals into solutions powered by machine learning.

• Improve System Performance:Define and track key metrics (e.g. relevance revenue latency reliability) and continuously iterate to improve system efficiency (latency/throughput).

• Innovate with Modern ML:Apply pioneering techniques including deep learning and GenAI to enhance advertiser and buyer experiences.

• Mentor and Lead:Provide technical guidance to junior engineers and contribute to standard processes in ML engineering and experimentation.

What you will bring:

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

• 5 years of experience in software development with great foundations in data structures algorithms and system design.

• Proven expertise in building deploying and maintaining large-scale machine learning pipelines and production services.

• Technical Proficiency: You should have strong programming skills in Python Scala or similar languages. Experience with ML frameworks like PyTorch Huggingface Ray or vLLM is essential. Familiarity with big data technologies such as Hadoop and Spark is important.

• Analytical Skills: Outstanding ability to analyze large datasets identify trends and derive actionable insights. Expertise in analytics and segmentation. SQL proficiency is essential.

• Communication: Excellent verbal and written communication skills to convey complex technical concepts to non-technical partners.

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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