PayPal Sr Machine Learning Engineer 

United States, California, San Jose 

638264598

This job will design, develop, and implement 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.

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.

• Strong understanding of machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying ML models.

• Proficient in multiple programming and scripting languages, including Unix/Linux Shell Scripting, Python, Java, and Scala.

• Extensive experience with big data technologies such as Hadoop, Spark, HBase, and Kafka.

• Demonstrated expertise in distributed systems, data streaming, complex event processing, and NoSQL solutions, with a track record of building and managing data integration pipelines for both batch and real-time data requirements.

• Exceptional problem-solving skills, with the ability to leverage big data platforms for in-depth analysis and root cause identification of production issues.

• Familiarity and experience with LLM, especially RAG, MCP, Agentic Agents.

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