Job Description

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. Summary: What you need to know about the role- You should be a driven Machine Learning Engineer. Meet our team- You will be joining PayPal\'s nascent Personalization AI/ML, Product Intelligence & Experimentation Sciences team. : Your way to impact - You should have a strong background in developing and implementing machine learning algorithms. We leverage state of the art machine learning techniques to solve challenging and impactful business problems in consumer product domain . This position requires the ability and curiosity to learn various advanced AI /ML techniques. Your day to day - As a Machine Learning Engineer you will be responsible for : Developing state-of-the-art Machine Learning solutions to solve impactful business problems Working with team and stakeholders to formulate business challenges into data science and machine learning problems Productioniz ing and automating large scale end-to-end data solutions in close collaboration with our engineering teams Present findings and recommendations to business partners and senior leadership What do you need to bring- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, Operations Research etc .) with 8+ yrs. of relevant industry experience Experience with developing and deploying machine learning solutions with a focus on NLP applications Proven experience in employing mathematical, statistical and machine learning methods on real world problem s Advanced knowledge of statistical and machine learning algorithms (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost , CNNs/RNNs) Hands-on experience with popular ML frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch , etc. ) and in dealing with big data (e.g., Hadoop, Spark , SQL, etc.) A bility to write scalable production-quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery , or Spark Strong problem-solving skills and attention to detail Ability to communicate effectively and establish constructive relationship with business and engineering partners Ability to work effectively both independently and in a team environment Experience with Fintech and/or Financial Services industry an advantage Nice to Haves: Experience working in Cloud based environment (e.g., GCP, Azure, AWS) Hands-on experience with conducting experiments in various areas of personalization and causal inferencing Experience working on feed-based ML ranking and recommendation systems Additional : 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 Who We Are: to learn more about our culture and community. 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 . Any general requests for consideration of your skills, please 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.

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