PayPal is looking to solve complex problems by designing, developing, and implementing machine learning models and algorithms to drive business insights and improve customer experiences.
Requirements
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Several years of experience in designing, implementing, and deploying machine learning models.
- Experience with AI or agentic systems, including exposure to LLM-based agents, autonomous decision-making components, or multi-agent workflows;
Responsibilities
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate tools and frameworks.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
Other
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Ability to work in a hybrid work model with 3 days in the office and 2 days at home.
- Must be able to work in a team environment and collaborate with cross-functional teams.
- Commitment to diversity and inclusion, with a focus on creating a sense of belonging at PayPal.
- Must be authorized to work in the United States.
