Manager, Machine Learning 1

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 Description Summary:

Job Description:

PayPal, Inc. seeks Manager, Machine Learning 1 in San Jose, CA

Job Duties: Develop and implement machine learning algorithms to improve our Generative AI solutions focusing on NLP/LLM areas. Identify and build the best performant solutions/models to solve specific business problems. Conduct applied R&D to experiment with fine tuning of generative AI models for PayPal’s data sources and evaluate trade-offs in performance / cost vs equivalent vendor or open-source capabilities. Collaborate with data science and engineering teams to optimize our Generative AI solutions to align with overall business goals. Stay up to date with the latest NLP/LLM generative AI techniques and trends. Present findings and recommendations to senior management.  Telecommuting permitted from a commutable distance

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

1.    Machine Learning: Design algorithms that enable systems to learn and improve performance on a specific task over time based on data 2 years
2.    Deep Learning: Model and solve complex problems, particularly effective in tasks such as image analysis and natural language processing 1 year
3.    Python Programming: Utilize the Python language for various applications, including data analysis, machine learning, and software development 2 years
4.    Generative AI Algorithms: Create algorithms that can generate new data instances, often used in artificial intelligence applications for creative outputs 1 year
5.    Statistics: Collect, analyze, interpret, and present data to uncover patterns and make informed decisions 2 years
6.    Natural Language Processing (NLP): Utilize computational methods to enable machines to understand, interpret, and generate human language 1 year
7.    Large Language Model (LLM) Fine Tuning: Optimize and adjust pre-trained language models for specific tasks or domains 1 year
8.    Algorithm Development: Create step-by-step procedures or formulas for solving problems and performing tasks efficiently 2 years
9.    Feature Engineering: Select and transform relevant features from raw data to enhance the performance of machine learning models 2 years
10.    Cloud Computing: Utilize remote servers on the internet to store, manage, and process data, providing scalable and flexible computing resources. 2 years
11.    Distributed Comp