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# Staff Machine Learning Engineer

- **Company:** PayPal
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $196,500.0 - $291,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Fraud Prevention and Detection, Machine Learning, Tensorflow, Reinforcement Learning, Data Processing, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Scikit Learn, Free and Open-Source Software, Machine Learning Operations, GPT, Data Generation
- **Published:** July 4, 2026
- **Apply:** https://www.disabledperson.com/jobs/73478062-staff-machine-learning-engineer

## About the Role

* 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
 * Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
 * Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment., Experience with AI or agentic systems, including exposure to LLM-based agents, autonomous decision-making components, or multi-agent workflows; ability to integrate or operationalize these capabilities within data or ML solutions.
*
Research experience in ML/AI areas with publications or open-source contributions a plus
*
Experience with transformer-based architectures (e.g., BERT, GPT, T5), including fine-tuning and domain adaptation
*
Knowledge of reinforcement learning, including policy optimization, value function approximation, or bandit algorithms
*
Hands-on experience with graph-based models (e.g., GCN, GraphSAGE, GAT) or graph representation learning
*
Experience with semi-supervised, self-supervised, or unsupervised representation learning
*
Knowledge of causal inference, anomaly detection, and incremental/continual learning
*
Exposure to synthetic data generation techniques for model training or evaluation
*
Prior work in fraud detection, risk modeling, or other high-impact, high-noise domains

## Description

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences., * Lead the development and optimization of advanced machine learning models.

 * Oversee the preprocessing and analysis of large datasets.
 * Deploy and maintain ML solutions in production environments.
 * Collaborate with cross-functional teams to integrate ML models into products and services.
 * Monitor and evaluate the performance of deployed models, making necessary adjustments., The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.


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