Staff ML Scientist, Agentic AI

PayPal

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CA
Salary: $196,500–$291,500 / yr
Posted: 30 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $244k

$153k most similar roles pay here $306k

This role pays more than 68% of similar roles. Most pay $168,250–$246,150 — the shaded band above. At the midpoint, this role pays about $244k versus about $207k 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 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Staff ML Scientist, Agentic AI

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As a Staff Scientist in the Agentic AI team, you will lead the development and execution of advanced AI solutions to create autonomous shopping experiences. Your responsibilities include designing innovative algorithms, conducting cutting-edge research, and collaborating with cross-functional teams to integrate AI into scalable e-commerce platforms. You will work extensively with Python, TensorFlow, and other machine learning frameworks while leveraging large datasets to enhance user interaction and personalization. This role requires expertise in natural language processing, reinforcement learning, and deep neural networks, as well as a strong understanding of the retail industry’s challenges and opportunities for automation and AI integration at scale.

What you'll do

- Develop and implement AI strategies for autonomous shopping experiences.
- Design advanced algorithms to enhance user interaction in e-commerce platforms.
- Conduct research on cutting-edge AI technologies applicable to retail automation.
- Analyze data to improve the efficiency of agentic AI systems in real-time scenarios.
- Collaborate with cross-functional teams to integrate AI solutions into existing frameworks.

What we're looking for

PhD in Computer Science, Robotics, or related field with 5+ years of industry experience.
Expertise in AI, machine learning, and robotics for autonomous systems.
Strong background in computer vision and natural language processing.
Experience leading cross-functional teams to develop innovative solutions.
Proven track record in delivering impactful projects within tight deadlines.

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