PayPal Sr Machine Learning Engineer 

United States, California, San Jose 

579149825

Preferred Qualifications- Bachelor’s or Master’s in Computer Science, Software Engineering, Machine Learning, or related field.
- 8+ years of industry experience with deep learning architectures, building, fine-tuning and deploying ML models in production.
- Strong proficiency in Python, Scala, or other programming languages.
- Familiarity with ML frameworks (TensorFlow, PyTorch, XGBoost, etc.).
- Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.- Experience working on search or recommendation systems at scale.
- Familiarity with A/B testing and experimentation methodologies for search relevance improvement.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $137,500 to $236,500

Our Benefits:

Any general requests for consideration of your skills, please