Staff Machine Learning Engineer

PayPal

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CA
Salary: $196,500–$291,500 / yr
Posted: 90 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k

This role $244k

$157k most similar roles pay here $306k

This role pays more than 65% of similar roles. Most pay $188,089–$257,275 — the shaded band above. At the midpoint, this role pays about $244k versus about $223k 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 Machine Learning Engineer

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As a Machine Learning Engineer on Venmo’s Data Science team, you will work on high-impact projects that enhance user engagement and safety across various domains such as personalization, retention, trust, discovery, and growth. Your daily tasks include developing and optimizing advanced machine learning models to predict churn, power search and recommendations, and build smarter fraud and risk management systems. You will leverage Venmo’s unique social graph and financial ecosystem using ML frameworks like TensorFlow or PyTorch, alongside cloud platforms such as AWS, Azure, or GCP for data processing and model deployment. Experience in fintech, consumer apps, or payments ecosystems is a plus, along with familiarity with real-time ML serving infrastructure and contributions to open-source projects.

Skills

TensorFlow PyTorch scikit-learn AWS Azure GCP CI/CD

What you'll do

Lead the development of advanced machine learning models for personalization and retention.
Optimize existing ML solutions to enhance user engagement and product experiences.
Design fraud and risk models using Venmo’s social graph and financial data.
Deploy ML models on cloud platforms like AWS, Azure, or GCP.
Implement real-time model serving infrastructure for efficient predictions.

What we're looking for

Extensive experience with TensorFlow, PyTorch, and scikit-learn.
Expertise in cloud platforms (AWS, Azure, GCP) for data processing and model deployment.
Strong background in developing and optimizing advanced machine learning models.
Experience in social platforms, fintech, consumer apps, or payments ecosystems.
Familiarity with real-time ML model serving and streaming infrastructure.

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