Sr Machine Learning Engineer

PayPal PayPal · Fintech · San Jose, CA +1 · Machine Learning Engineering

This role focuses on designing, deploying, and productizing scalable AI and ML solutions, with a specific emphasis on developing AI agents for workflow automation, issue detection, and fix suggestions. It involves working with LLMs and requires strong software engineering skills in a fintech domain.

What you'd actually do

  1. Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience.
  2. Work with data scientists and backend engineers to solve complex problems with AI/ML.
  3. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
  4. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.
  5. Work in cross-functional groups and get results in matrix organizations.

Skills

Required

  • Java
  • Python
  • Apache Spark
  • MapReduce
  • machine learning
  • CI/CD
  • Docker
  • Kubernetes
  • GCP
  • AWS
  • Azure
  • large language models
  • Agent development

What the JD emphasized

  • Experience with large language models and Agent development

Other signals

  • design and deploy scalable traditional and generative AI solutions
  • productize ML models
  • develop different AI agents to automate workflow, detect live issues and provide fix suggestion
  • experience with large language models and Agent development