Machine Learning Engineer

IND - Karnataka - Bangalore - Corp - Sarjapur Main Rd

PayPal

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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-
Design and develop state-of-the-art Machine Learning solutions to solve business problems related to PayPal Consumer Marketing lifecycle. Help drive business growth across PayPal’s brands including Venmo.

Meet our team-
PayPal is seeking a talented Senior Machine Learning Scientist to join our Global Consumer Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You will design and develop ML solutions like Next Best Action recommendation systems, Product Propensity, Incentive Optimization, Predict Customer Value, Churn, Uplift Models across our Brands including Venmo and PayPal. Your goal will be to leverage state of the art machine learning solutions to solve business problems related to PayPal Consumer Marketing.

Job Description:

Your way to impact -

  • As a Senior Machine Learning Scientist at PayPal, your role directly impacts the business by spearheading the development and implementation of advanced ML solutions.
  • You will translate business challenges into actionable ML problems.
  • Your efforts will drive business growth and will influence decision-making, help enhance consumer experience and improve marketing strategies, solidifying PayPal's position at the forefront of AI-driven solutions in fintech.

Your day to day -

As a Machine Learning Scientist you will be responsible for: ·

  • Develop and implement state-of-the-art Machine Learning solutions to solve business problems related to PayPal Consumer Marketing lifecycle and address marketing challenges to drive business growth
  • Collaborating with team and stakeholders to formulate business challenges into ML problems
  • Design, develop and deploy automated large scale end-to-end ML solutions in close collaboration with our engineering group and PayPal's Platforms organization
  • Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.

What do you need to bring- ·

  • Master’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 6+ yrs. of relevant industry experience.
  • Demonstrated record of building and deploying end-to-end ML solutions in a production environment, preferably in marketing or related domains.
  • Experience with Next Best Action recommendation systems, Multi-Arm Bandit algorithms , Propensity, Churn and CV models.
  • Ability to write scalable production-quality code in Python and to design and implement data engineering pipelines using technologies like SQL, BigQuery, or Spark etc.
  • Hands-on experience with popular ML frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience – an advantage.
  • Experience leading ML projects and great record delivering solutions with attention to detail and efficiency.
  • Experience shipping Realtime models a big plus.
  • Ability to communicate effectively and establish constructive relationship with business and engineering partners.
  • Ability to work effectively both independently and in a team environment.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Big Data BigQuery Computer Science Engineering FinTech GCP Hadoop Machine Learning Mathematics Pipelines Python PyTorch Security Spark SQL Statistics TensorFlow

Perks/benefits: Career development Health care Insurance Wellness

Region: Asia/Pacific
Country: India

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