Sr Machine Learning Engineer

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

Job Description:

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.

Minimum 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.

Special Skill Requirements:

1. Software Development using Python (3 years).

2. Machine Learning using tools like sklearn, spacy, and/or NLTK (3 years).

3. Deep Learning for NLP tasks using tools including PyTorch and transformers (2 years).

4. Generative AI development using tools including LangChain and LLM APIs (1 year).

5. ETL pipeline development for generative AI workflows (1 year).

6. RAG systems design and prompt engineering (1 year).

7. Semantic search and chunking for document retrieval (1 year).

8. Graph-based dialogue workflow design for chatbots (1 year).

Additional Responsibilities & Preferred Qualifications:

EOE, including disability/vets.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: 

Primary Location | Pay Range: 

San Jose, California | Salary: $169,262.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for t