Senior 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:

What you need to know about the role
We are looking for an analytical, articulated and results-driven Machine Learning Scientist to join PayPal’s Global Analytics Data Science team in Bangalore.

Meet our team
The team builds advanced AI/ML solutions & services which serve multiple domains, including Risk, Sales, Credit, Marketing, and more. Our portfolio includes foundational AI models, GenAI acceleration, user profiling solutions, shopping intelligence, and more. Our expertise lies in tackling complex horizontal business challenges, by harnessing the power of advanced AI technologies

Job Description:

Your way to impact

As a Machine Learning Scientist, you will focus on delivering advanced AI solutions and services, to generate significant business impact across multiple domains. The position requires close collaboration with cross-functional teams, including engineers, product managers and fellow ML scientists. This position demands a deep technical expertise to explore the frontiers of machine learning and develop cutting-edge solutions.

Your day to day

As a Machine Learning Engineer you will be responsible for: 

• Develop innovative ML models, algorithms, and engineering approaches with high impact to our business.

• Build large scale (all PayPal transaction or logins!) end-to-end data products in close collaboration with our engineering partners 

• Transform large amounts of complex data into business insights and solutions by using the latest technology in AI/ML

• Initiate next-gen AI projects that would push our tech-stack boundaries

What do you need to bring

• Minimum 4 years of relevant work experience in AI/ML and Data Science or PhD with 1 year of experience.

• Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) 

• Code writing capabilities in any programming language (preferably Python) and familiarity with relevant ML packages 

• Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

• Demonstrated proficiency in designing, training, and deploying deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras.

• Proven ability to leverage advanced deep learning techniques for applications in computer vision, natural language processing, and/or other relevant domains.

• GCP and big data experience – an advantage

• Experience in a multi-culture and multi-location organizations – an advantage

• Team player, responsible, delivery-oriented, details-oriented

• Outstanding communication skills 

• Excellent spoken and written English 

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

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 visit https://www.paypalbenefits.com.

Who We Are:

Click Here to 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 at talentaccommodations@paypal.com.  

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, please Join 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.