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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 team
We are seeking a highly skilled and experienced Software Engineer to design, develop, and optimize systems and applications in our Machine Learning (ML) platform. We want the highest levels of technical talent and programming skills, as well as a keen desire to deeply understand our products and services to push our technology forward. You’ll work alongside the most creative engineering talent in the industry around the world.

As an AI Platform Software Engineer, you will work closely with engineering teams, data scientists, and business partners to develop systems that support high-performance model training, deployment, and monitoring. 

 

What you will accomplish:

Design and implement robust, scalable, and secure systems for the machine learning platform, supporting diverse use cases such as large-scale training and real-time inference.

Evaluate and adopt emerging technologies and frameworks to enhance platform capabilities and optimize performance and cost efficiency.

Collaborate with cross-functional teams, including data engineers, software engineers, and data scientists, to align platform development with business needs.

Identify bottlenecks and optimize the use of GPUs for large-scale data processing and high-throughput model serving.

Define and implement automated ML workflows, including data preprocessing, model training, hyper parameter tuning, deployment, and monitoring.

Ensure adherence to enterprise-level governance, compliance, and security standards.

 

​What you will bring:

BS, MS, or PhD in Computer Science, Engineering, or a related field.

4+ years of software development and architecture experience, with at least 2 years focused on machine learning platforms.

Expertise in designing and building ML platforms, including model training pipelines and inference services.

Strong programming skills in Python, Java, or Scala, and experience with frameworks like TensorFlow or PyTorch.

Familiarity with containerization/orchestration technologies (Docker, Kubernetes) and big data technologies (Spark, Hadoop, Kafka).

Experience with MLOps practices, CI/CD pipelines, and tools like MLflow or Kubeflow; familiarity with Ray.io is a plus.

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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 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 eBay's commitment to ensuring digital accessibility for people with disabilities.

 

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