Staff Machine Learning Engineer

PayPal

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CA
Salary: $196,500–$291,500 / yr
Posted: 8 days ago
Freshness: Confirmed live today
Closes: Apr 17, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k

This role $244k

$172k $304k

below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $244k versus about $229k 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 96 open roles on FindRole.

Listed pay typically runs $160,500–$259,158 across 91 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Staff Machine Learning Engineer

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The Staff Machine Learning Engineer will join the team to lead the design, development, and implementation of advanced machine learning models and algorithms. This role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. You will oversee the preprocessing and analysis of large datasets while collaborating with data scientists, software engineers, and product teams to integrate solutions into various services. The position requires expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn, along with proficiency in cloud platforms like AWS, Azure, or GCP. The work focuses on solving complex problems within the payments and commerce domain, specifically enhancing services through innovative AI/ML solutions to improve overall product performance.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

Skills

Machine Learning TensorFlow PyTorch scikit-learn AWS Azure GCP ML Pipelines Data Processing Model Deployment

What you'll do

Lead the design, development, and optimization of advanced machine learning models.
Oversee the preprocessing and analysis of large datasets.
Build and maintain scalable machine learning pipelines.
Deploy and maintain ML solutions in production environments.
Integrate ML models into products and services with cross-functional teams.
Monitor and evaluate the performance of deployed models to make necessary adjustments.

What we're looking for

5+ years of relevant experience.
A Bachelor’s degree or an equivalent combination of education and experience.
Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Expertise in cloud platforms such as AWS, Azure, or GCP.
Expertise in tools for data processing and model deployment.

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