Lead Engineer, ML & GenAI



Software Engineering, Data Science
Bengaluru, Karnataka, India · Bengaluru, Karnataka, India · Karnataka, India
Posted on Tuesday, April 23, 2024
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:
What you need to know about the role- We are seeking a talented Machine Learning Engineer with expertise in 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 optimal cloud computing, knowledge bots, Assistants etc. Meet our team We part of AI Platform and Solutions group comprising of Machine Learning Engineer and Software Engineers. As a Machine Learning Engineer, you will working on developing ML solutions that enhance technology and data management efficiencies for various teams. Your work fits seamlessly within our organization to drive innovation and deliver cutting-edge products and services at large scale. Join us in making a difference with ML & Generative AI solutions like cloud computing optimizations, knowledge bots, and Assistants.

Job Description:
Your way to impact

As a Machine Learning Engineer, you will work on developing ML solutions that will be used across PayPal to powerup new products and by various teams as part of the key initiatives in technology and data management domains and will contribute to firmwide impact.

Your day to day

  • Collaborate with global 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.
  • Lead junior ML Engineers and guide them. Coordinate for product release and spread adoption among user communities
  • 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.
  • Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
  • 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.

What Do You Need To Bring-
  • A Master's or Ph.D. degree in Computer Science or a related field.
  • Proven experience working as a Software Engineer lead/manager, with a focus on ML Engineering and exposure to Generative AI Applications such as chatGPT.
  • Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, 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, Langchain, OpenAI SDK, Vector DB's (Mandatory).
  • Experience working with various Embeddings /Embedding Models & fine-tuning LLM's ( Nice to have ).
  • Strong communication skills to effectively collaborate across global teams and drive product development and adoption.
  • 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.
  • We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Our 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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

REQ ID R0110480