Staff Software Engineer, Agentic AI

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

Staff Software Engineer, Agentic AI at PayPal, focused on leading the strategy, development, and execution of AI-driven autonomous shopping experiences using intelligent digital agents for commerce transactions. Requires deep expertise in AI, e-commerce, and digital transformation, with strong leadership and cross-functional collaboration skills. Responsibilities include defining ML strategy, leading model development and optimization, data preprocessing, deploying ML solutions, integrating models into products, monitoring performance, and mentoring junior engineers. Requires 8+ years of experience, a Bachelor's degree or equivalent, expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, GCP).

What you'd actually do

  1. Define and drive the strategic vision for machine learning initiatives within the team.
  2. Lead the development and optimization of machine learning models.
  3. Oversee the preprocessing and analysis of large datasets.
  4. Deploy and maintain ML solutions in production environments.
  5. Collaborate with cross-functional teams to integrate ML models into products and services.

Skills

Required

  • ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Cloud platforms (AWS, Azure, GCP)
  • Data processing
  • Model deployment
  • Machine learning model development
  • Machine learning model optimization
  • Data preprocessing
  • Data analysis
  • Production ML deployment
  • Cross-functional collaboration

Nice to have

  • AI-driven autonomous shopping experiences
  • Intelligent digital agents
  • E-commerce
  • Digital transformation
  • Leadership

What the JD emphasized

  • Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proven track record of leading the design, implementation, and deployment of machine learning models.

Other signals

  • AI-driven autonomous shopping experiences
  • intelligent digital agents that anticipate, negotiate, and execute commerce transactions on behalf of users
  • lead the strategy, development, and execution of AI-driven autonomous shopping experiences