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PayPal Sr Machine Learning Engineer AI Labs 
United States, California, San Jose 
731756919

02.09.2025

Within PayPal AI Labs, you will lead the exploration, prototyping, and deployment of next-generation AI technologies powering autonomous commerce. You will drive forward initiatives centered on agentic AI, digital agents capable of reasoning, decision-making, and executing multi-step tasks across shopping journeys. This role sits at the intersection of foundational research and real-world application, requiring depth in machine learning and a passion for shaping the future of commerce.

Essential Responsibilities:

  • Define and drive the strategic vision for machine learning initiatives within the team.
  • Lead the development and optimization of machine learning models.
  • Oversee the preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments.
  • Mentor and guide junior engineers and data scientists.
  • Ensure adherence to best practices and industry standards in ML development.

Minimum Qualifications:

  • Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
  • Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Proven track record of leading the design, implementation, and deployment of machine learning models.

Preferred Qualification:

  • Advanced degree (Ph.D./Master’s) in Computer Science, AI, Machine Learning, or related field.

  • Hands-on experience with LLMs, multi-agent systems, or autonomous agents.

  • Contributions to open-source projects, research publications, or patents in AI.

  • Strong background in distributed systems, MLOps, and experimentation platforms.

  • Experience working in AI research teams or innovation-focused environments.

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 $169,500 to $291,500


Our Benefits:

Any general requests for consideration of your skills, please