Sr Machine Learning Engineer

PayPal • San Jose, CA

2d • Hybrid

About The Position

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Design and develop Machine Learning (ML) engineering solutions and generative AI application to ensure scalability, efficiency, and maintainability of such solutions. Analyze, design, develop, and test the solutions that are appropriate for the business and technology strategies. Drive architecture discussions, produce well-documented design docs, and participate in design and code reviews. Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI. Write clean, high-performance, high-quality, maintainable code. Discover, analyze, structure and mine data working with various embedding models. Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. Research the latest advancements in the field of Generative Al and actively contribute to the research and development of new ML & Generative AI solutions. Partial telecommuting permitted from within a commutable distance.

Requirements

• Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus three years of experience in the job offered or a related occupation.
• Software Development using Python (3 years).
• Machine Learning using tools like sklearn, spacy, and/or NLTK (3 years).
• Deep Learning for NLP tasks using tools including PyTorch and transformers (2 years).
• Generative AI development using tools including LangChain and LLM APIs (1 year).
• ETL pipeline development for generative AI workflows (1 year).
• RAG systems design and prompt engineering (1 year).
• Semantic search and chunking for document retrieval (1 year).
• Graph-based dialogue workflow design for chatbots (1 year).

Responsibilities

• Design and develop Machine Learning (ML) engineering solutions and generative AI application to ensure scalability, efficiency, and maintainability of such solutions.
• Analyze, design, develop, and test the solutions that are appropriate for the business and technology strategies.
• Drive architecture discussions, produce well-documented design docs, and participate in design and code reviews.
• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Discover, analyze, structure and mine data working with various embedding models.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Research the latest advancements in the field of Generative Al and actively contribute to the research and development of new ML & Generative AI solutions.

Benefits

• At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.
• We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level