Mts 1, 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 Description Summary: We are seeking a talented Machine Learning Engineer with expertise in Machine Learning and software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop Machine Learning (ML) solutions that focus on technology improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as AI Agents for optimal cloud computing, knowledge bots, Assistants etc

**Job Description**:
**Responsibilities**:

- 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.
- Discovering, analyzing, structuring and mining data.
- Define and build innovate ML and Generative AI systems.
- Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.

**Requirements**:

- A Master's or Ph.D. degree in Computer Science or a related field.
- Minimum 8 years of experience in Machine Learning and last 1-2 years in Generative AI solutions.
- Proven experience working as a Full Stack ML Engineer, with a focus on Machine Learning, ML Engineering and experience in Generative AI Applications such as RAG based AI Agents.
- Strong proficiency in programming languages such as Machine Learning Algorithms, Python, Hadoop & Spark etc
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Mandatory )
- Experience working with various Embeddings /Embedding Models & fine-tuning LLM's ( Nice to have ).
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research in the field of Generative AI.

If you are a skilled and innovative ML Engineer with a passion for Generative AI, and have a desire to contribute to innovative solutions, we would love to hear from you. Join our team and help shape the future of our AI Driven Technology Solutions.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for ef