Senior Machine Learning Engineer

PayPal

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$159,500–$236,500 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Apr 21, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $232k
This role $198k
$145k $292k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $208,462–$254,750 — the blue band above. At the midpoint, this role pays about $198k versus about $232k 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 · Senior Machine Learning Engineer

The Sr Machine Learning Engineer will join the team to design, develop, and implement machine learning models and algorithms to solve complex problems. Working closely with data scientists, software engineers, and product teams, the successful candidate will build scalable ML pipelines, ensure data quality, and deploy models into production environments to drive business insights and improve customer experiences. Key responsibilities include preprocessing and analyzing large datasets, optimizing models for various applications, and monitoring performance post-deployment. The role requires proficiency with ML frameworks such as TensorFlow, PyTorch, or scikit-learn, along with familiarity with cloud platforms like AWS, Azure, or GCP. This position focuses on integrating innovative AI/ML solutions into products and services to enhance the overall user experience and operational efficiency.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Design, develop, and implement machine learning models and algorithms to solve complex problems.
  • Develop and optimize machine learning models for various business applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Build scalable machine learning pipelines and ensure high data quality.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Monitor and evaluate the performance of deployed models to ensure accuracy.
  • Integrate machine learning models into products and services across the company.

What we're looking for

  • 3+ years of relevant experience and a Bachelor’s degree or an equivalent combination of education and experience.
  • Several years of experience in designing, implementing, and deploying machine learning models.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Experience with tools for data processing and model deployment.

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