Machine Learning Engineer

PayPal

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$117,500–$199,500 / yr
Posted
2 days ago
Closes
Jun 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $158k
$100k most similar roles pay here $280k

This role pays less than 91% of similar roles. Most pay $181,587–$249,750 — the shaded band above. At the midpoint, this role pays about $158k versus about $216k for comparable roles.

Based on 239 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 · Machine Learning Engineer

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As a Machine Learning Engineer at PayPal in Austin, TX, you will join the Data Science and Engineering team to develop high-impact statistical models and AI applications, focusing on Natural Language Processing (NLP) and Generative AI. Your daily tasks include analyzing multi-terabyte datasets using Python and SQL, conducting model validation, and collaborating with cross-functional teams to ensure timely issue resolution. You will also build interactive dashboards with Tableau or Looker Studio for stakeholder communication and explore the latest advancements in machine learning to drive innovation. Essential skills include experience with credit data analysis, feature engineering, statistical hypothesis testing, and working with large-scale operational environments. This role demands expertise in Python, SQL, NLP, and Generative AI architectures like Large Language Models (LLMs).

Skills

Python SQL Tableau Looker Studio Machine Learning NLP Generative AI LLMs Credit Data Analysis Statistical Analysis Hypothesis Testing Data Visualization Feature Engineering

What you'll do

  • Develop and deploy statistical models using Python for multi-terabyte datasets.
  • Analyze credit reports to derive business insights and support decision-making.
  • Query and manipulate large-scale operational environments with SQL expertise.
  • Design, implement, and deploy machine learning models for business applications.
  • Extract meaningful features from credit data to enhance model performance.

What we're looking for

  • Master’s degree in Computer Science, Engineering, Data Science or related field required.
  • 1 year of experience developing and deploying statistical models using Python on multi-terabyte datasets.
  • 1 year of experience analyzing credit reports and data to derive business insights.
  • 1 year of SQL experience querying and manipulating multi-terabyte datasets for advanced analytics.
  • 1 year of experience building interactive dashboards with Tableau/Looker Studio.
  • 1 year of experience designing, implementing, and deploying machine learning models for business applications.
  • 1 year of experience working with Generative AI architectures like Large Language Models.

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