Lead Machine Learning Scientist

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:
What you need to know about the role
We seek a dynamic and enthusiastic Machine Learning Engineer/Scientist to join our team in Chennai IND. This role focuses on developing cutting-edge machine learning and deep learning solutions tailored to the compliance and privacy domains. If you are driven by innovation and possess a strong passion for machine learning technologies, we are excited to welcome you to explore this opportunity!

Meet our team
Global Analytics & Data Sciences (GADS) serves as PayPal's enterprise Analytics & Data Science Solution(s)/Service(s) provider, consisting of different vertical and horizontal sub-portfolios such as consumer, merchant, risk, credit, customer operation, etc. Compliance & Privacy is a portfolio under GADS supporting Compliance & Privacy domains to enable us to fulfil regulatory requirements around Anti-Money Laundering (AML), Brand Risk Management (BRM), Sanctions Screening, Know Your Customer (KYC), and Data Privacy. We are developing AI/ML solutions to better aid detection, assisted investigation experience, and automated decisions.
Job Description:
Your way to impact
Strong critical-thinking and problem-solving skills and ability to address complex technical and non-technical challenges.
Able to influence at all levels of the organization and across multiple functional teams.
Kept up-to-date with State-Of-The-Art (SOTA) advancements in Artificial Intelligence and understand how they can be applied to solve business challenges.

Your day to day
Design and develop highly scalable and efficient platform that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end.
Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.
Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.
Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery

What do you need to bring
4+ year experience for PhD; 6+ year experience Machine Learning Engineer/Scientist or similar role for MS.
Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Experience with end-to-end machine learning project lifecycle, from conception to production.
Passionate to learn the state-of-the-art machine learning framework and algorithms in academia and industry.
Proven experience in employing mathematical, statistical, and machine learning methods on real-world problems
Proficient in data mining and familiar with SQL, BigQuery, Python, etc.
Proficient in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
Knowledge of specialized areas such as NLP or computer vision.
Exceptional written and verbal communication skills in English, capable of influencing cross-functional teams.
Industry experience in compliance and privacy domains is a plus.
Experience working in a multinational company is a plus.
Familiarity with Large Language Models (LLMs) is a plus.
Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications are pluses.

Additional Job Description:

Subsidiary:
PayPal
Travel Percent:
0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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 visithttps://www.paypalbenefits.com.

Who We Are:
Click Hereto learn more about our culture and community.

Commitment to Diversity and Inclusion
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 ******.

Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, pleaseJoin our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.