Machine Learning Engineer

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.

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 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 implementstate-of-the-art Machine Learning solutions to solve business problemsrelated to PayPal Consumer Marketing lifecycleand address marketing challenges to drive business growth

  
  

• Collaborating with team and stakeholders to formulate business challenges into ML problems

  
  

• Design, develop and deployautomated 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

  
  

What do you need to bring- 

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

  
  

• 4+ 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 Pythonand to design and implement data engineering pipelines using technologies like SQL, BigQuery, or Sparketc.

  
  

• 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

  
  

**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

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.

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. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.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 paypalglobaltalentacquisition@paypal.com.

Any general requests for consideration of your skills, please Join Our Talent Community.