Principal Agentic Engineer

PayPal

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$242,000–$359,150 / yr
Posted
17 days ago
Freshness
Confirmed live today
Closes
Mar 14, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $301k
$123k most similar roles pay here $384k

This role pays more than 88% of similar roles. Most pay $180,262–$246,087 — the shaded band above. At the midpoint, this role pays about $301k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 66 open roles on FindRole.

Listed pay typically runs $160,500–$238,700 across 63 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Principal Agentic Engineer

As a Principal Agentic Engineer, you will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. Working closely with data scientists, software engineers, and product teams, you will build scalable ML pipelines, ensure high data quality, and deploy models into production environments to enhance services and improve customer experiences. Your daily responsibilities include overseeing the preprocessing of large datasets, mentoring junior staff, publishing research findings, and developing new methodologies for machine learning applications. You will utilize core technologies including TensorFlow, PyTorch, or scikit-learn, alongside cloud platforms such as AWS, Azure, or GCP for data processing and deployment. This role focuses on integrating advanced AI/ML solutions into products to provide actionable business insights and solve intricate technical challenges within the organization's service infrastructure.

What you'll do

  • Define and drive the strategic vision for machine learning initiatives across multiple teams and projects.
  • Lead the development and optimization of state-of-the-art machine learning models.
  • Oversee the preprocessing and analysis of large datasets to ensure data quality.
  • Deploy and maintain machine learning solutions in production environments.
  • Monitor and evaluate the performance of deployed models while making necessary adjustments.
  • Mentor and guide junior engineers and data scientists.
  • Develop new methodologies and frameworks for machine learning applications.

What we're looking for

  • A Bachelor's degree or an equivalent combination of education and experience.
  • 10+ years of relevant experience.
  • Deep expertise with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Extensive experience with cloud platforms including AWS, Azure, or GCP.
  • Experience with tools for data processing and model deployment.
  • A proven track record of leading the design, implementation, and deployment of machine learning models.

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