PayPal Sr Software Engineer 

United States, California, San Jose 

961384944

This role involves designing, developing, and implementing scalable engineering solutions to support machine learning models and analytics workflows, addressing complex problems. You will collaborate closely with data scientists, ML engineers, software engineers, and platform teams to enhance AI/ML-driven services by building and maintaining scalable ETL processes.Your responsibilities will include ensuring data quality, streamlining access to reliable data sources and features, and enabling efficient data processing to drive business insights and improve customer experiences. Additionally, you will contribute to developing solutions for monitoring and observability of AI/ML systems in production, identify performance bottlenecks, implement improvements to enhance pipeline reliability and throughput, and support root cause analysis and troubleshooting for live issues impacting model performance.

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.

• Experience with full stack development of Django and React.js
• Experience with databases like PostgreSQL, Neo4j, InfluxDB, MongoDB.
• Experience building scalable ETL and data pipelines that process large volumes of data
• Experience with monitoring and alerting systems.
• Master's degree in Engineering or related field.

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