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PayPal Sr Software Engineer ML Serving United States, California, San Jose 501800295
09.10.2025
You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your technical expertise and practical experience in AI and machine learning, with a focus on model serving and compute platforms. You will be responsible for designing and developing the platform to enable data scientists and ML solution engineers to build and deliver AI/ML solutions in a self-service
Essential Responsibilities:
- Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
- Advises immediate management on project-level issues
- Guides junior engineers
- Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
- Applies knowledge of technical best practices in making decisions
Minimum Qualifications:
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Preferred Qualification:
- track recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative, and fast-paced high-pressure environment; proven results in delivery the platform products.
- Familiar with AI/ML concepts, algorithms, and techniques, with hands-on experience in delivering AI/ML solutions.
- Practical knowledge of infrastructure components includingcompute, networking, and storage for modern cloud environments, especially with Kubernetes.
- Solid understanding of the AI/ML development lifecycle, with familiarity inMLOpspractices such as model deployment, serving, and monitoring.
- Proficient in Programming languages such as Java or Python.
- Experience with LLM inferencing frameworks (vLLM,SGLang,TensorRT-LLM) and LLM model optimization (nice to have).
- Experience with ML model serving and orchestration frameworks such asMLflow, Seldon, Triton Inference Server, or Ray Serve (nice to have).
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $123,500 to $212,850
Our Benefits:
Any general requests for consideration of your skills, please
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