PayPal is looking to enhance its services through innovative AI/ML solutions to drive business insights and improve customer experiences, specifically within the Credit Machine Learning team to grow PayPal products.
Requirements
- Familiarity with ML frameworks like TensorFlow or scikit-learn.
- 3+ years of hands-on experience with problem-solving using Machine Learning
- Hands-on experience with Python, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.
- Candidates should have in-depth knowledge of machine learning algorithms, and explainable AI methods.
- Experience with Cloud frameworks such as GCP, AWS is preferred.
- Independent project leadership experience in credit/AI/ML domain.
- Strong analytical and problem-solving skills.
Responsibilities
- Assist in the development and optimization of machine learning models.
- Preprocess and analyze datasets to ensure data quality.
- Collaborate with senior engineers and data scientists on model deployment.
- Conduct experiments and run machine learning tests.
- Contribute ML Projects and Conduct research to identify new and innovative ML techniques.
- Work closely with other engineers and technical leaders to implement and optimize ML models.
- Develop and implement best practices for ML model management, deployment, and monitoring.
Other
- Minimum of 3 years of relevant work experience and a Master's degree/PhD or equivalent experience.
- We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving.
- Candidates should have experience with solving Machine learning problems in credit or collections business across geographies
- Experience with Lending and Financial services is a plus.
- 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.
