AI/ML Data Automation Engineer

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.

Job Description Summary:

We are looking for a talented Python Engineer to join our team. The ideal candidate will have a strong understanding of Big Data, Python Scripting, Machine Learning and Artificial Intelligence concepts, and experience applying these concepts on a large-scale data set. They will have the ability to solve complex problems with simple, efficient solutions, and the desire to continually learn and evolve their skills. They will collaborate closely with cross-functional teams to develop and deploy big data and AI powered solutions that optimize employee experiences and drive business outcomes. As part of our team, you'll work with cutting-edge AI/ML technologies and be at the forefront of the latest advancements in the field.

Job Description:

Your way to impact:

As a Python engineer, you will be responsible for designing, developing, and deploying big data, machine learning models and AI applications that solve complex business problems.

In your day to day, you will:

• Develop, implement, and maintain machine learning models, including data collection, model design, training, optimization, and validation.
• Collaborate closely with product teams and other stakeholders to understand business needs and translate them into technical requirements.
• Develop robust data pipelines to collect, clean, and process data from various sources.
• Keep up to date with the latest technologies and research in the field of AI and ML to bring innovative solutions and improvements to our products.
• Monitor the performance of AI/ML systems and make improvements as necessary.
• Work closely with other members of the team to design and implement solutions, including collaborating with domain SMEs to understand the data and design models, working with software engineers to integrate models into products, and collaborating with product managers to define requirements and prioritize work.
• Responsible for developing and maintaining data pipelines to support machine learning models, which includes data cleaning, feature engineering, and data storage.
• Conduct experiments to evaluate model performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance.
• Communicate technical concepts to non-technical stakeholders, you will need to be able to communicate complex technical concepts to non-technical stakeholders in a way that is easy to understand.
• Provide technical leadership and mentorship in the field of Big data and AI/ML

What do you need to bring:

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience working on Big Data and AI/ML models in a production environment.
• Experience with big data processing frameworks such as Hadoop, Spark, PySpark, or Kafka, and hands-on experience with Google Cloud Platform (GCP)
• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, or similar.
• Understanding of various machine learning techniques (classification, regression, clustering, etc.)
• Strong knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithms
• Experience with data preparation and data engineering - Python engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation.

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 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 [email protected].

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

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.