AI 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 role & team :

We are seeking an experienced AI Software Engineer with a background in research, data science, LLM training, fine-tuning, prompt-engineering. You will ideally have experience working with LLMs, DLRM, data engineering, and general ML algorithms.

The AI Platform Team is the engineering engine that powers every stage of our company’s machine‑learning and AI application pipeline. We operate and continuously optimize vast GPU fleets—thousands of accelerators spread across multiple data centers—using custom priority‑aware scheduling and autoscaling to keep utilization high and costs low. Beyond infrastructure, we deliver a fully integrated toolkit that automates data ingestion, model training, fine‑tuning, deployment, monitoring, and governance, while also giving developers self‑service environments for prompt engineering, experimentation, and rapid iteration. Because we own the complete MLOps lifecycle, we can push cutting‑edge models and end‑to‑end AI application solutions from inception through production in days rather than months, ensuring research ideas become reliable, secure, and high‑impact products used worldwide.

What you will accomplish :

Design, develop, and optimize scalable software solutions and algorithms for AI applications, with a core focus on knowledge extraction and reasoning. Ensure efficient performance across diverse environments, especially leveraging GPU acceleration for both training and inference.

Build, maintain, and enhance robust data ingestion and processing pipelines, with a particular emphasis on extracting latent knowledge from multiple data modalities including text, images, video, and structured data.

Develop AI services (e.g., recommendation engines, fraud detection, semantic search) leveraging knowledge graphs and machine learning models. Collaborate with cross-functional teams for seamless integration and new feature implementation.

Engage in the complete project lifecycle : design, implementation, deployment, architectural reviews, and monitoring, following product team specifications.

Provide high-speed prototypes and proof-of-value demos to demonstrate the value of different types of AI algorithms in unlocking value from large volumes of internal data.

Participate in code reviews and uphold software development best practices, proposing improvements and adopting new technologies (e.g., graph databases, GPU frameworks) as needed.

Address high-priority (P1 / P0) support issues to minimize service disruptions and ensure the reliability of AI services.

What you will bring :

PhD or MS Degree in Computer-Science, Machine-learning, Software Engineering, or a related field.

Proven experience in software development using languages such as Python and deploying applications in production systems on Kubernetes with CI / CD pipelines.

Familiarity with big data technologies like Hadoop, Spark, or Kafka.

Solid understanding of AI and machine learning concepts

Experience developing or AI background to develop techniques for extracting knowledge from multi-modal data, including natural language processing (NLP), computer vision, and audio analysis.

Proficiency in developing and optimizing data pipelines for GPU acceleration using frameworks like CUDA, CuGraph, Rapids, TensorFlow, or PyTorch, specifically with multi-modal data.

Experience with multi-modal machine learning models and techniques.

Knowledge of techniques for fusing information from multiple data modalities.

Experience with GPU profiling and optimization tools.

Ability to work effectively in a collaborative team environment.

Excellent problem-solving, analytical, and communication skills.

Ability to work collaboratively in a cross-functional team and with stakeholders across the organization.

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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 status. If 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 to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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