PayPal is looking to build a world class end-to-end AI/ML platform to scale up AI/ML solution development, and is seeking a software engineer to design, build, and scale platforms and MLOps functionality to support the platform and customer needs.
Requirements
- Familiar with AI/ML concepts, algorithms, and techniques, with hands-on experience in delivering AI/ML solutions.
- Practical knowledge of infrastructure components including compute, networking, and storage for modern cloud environments, especially with Kubernetes.
- Solid understanding of the AI/ML development lifecycle, with familiarity in MLOps practices 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 as MLflow, Seldon, Triton Inference Server, or Ray Serve (nice to have).
- Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative, and fast-paced high-pressure environment
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
- Designing and developing the platform to enable data scientists and ML solution engineers to build and deliver AI/ML solutions in a self-service
- Leveraging technical expertise and practical experience in AI and machine learning, with a focus on model serving and compute platforms
Other
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Travel Percent: 0-
- Commitment to Diversity and Inclusion
- Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging.
- Must be able to work in a flexible work environment, with 3 days in the office and 2 days at home or in the office
