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Staff Machine Learning Engineer
PayPal · San Jose, CA · Posted 2 days ago
Lead design of production LLM and agentic AI systems that improve PayPal products and internal operations, with ownership of architecture and cross-functional delivery.
Job Summary: As a Staff Engineer, you will lead the design, development, and implementation of advanced machine learning (ML), large language model (LLM), and agentic AI systems that solve complex business and customer problems. You will translate emerging AI capabilities into scalable, reliable solutions that improve products, strengthen internal operations, and create measurable business value. This role combines hands-on engineering, architectural leadership, and close collaboration with data scientists, software engineers, product managers, and business stakeholders. Job Description: Essential Responsibilities:
- 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.
Minimum Qualifications:
- 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.
Preferred Qualifications:
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This role is one of 24 Machine Learning Engineer openings in San Jose, CA and centers on Machine Learning, Tensorflow, Pytorch, and Scikit-learn. There are 362 open roles at PayPal right now.
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