PayPal is looking to solve complex problems through advanced machine learning models and algorithms to drive business insights and improve customer experiences.
Requirements
- Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Experience with AI or agentic systems, including exposure to LLM-based agents, autonomous decision-making components, or multi-agent workflows;
- Experience with transformer-based architectures (e.g., BERT, GPT, T5), including fine-tuning and domain adaptation
- Knowledge of reinforcement learning, including policy optimization, value function approximation, or bandit algorithms
- Hands-on experience with graph-based models (e.g., GCN, GraphSAGE, GAT) or graph representation learning
- Experience with semi-supervised, self-supervised, or unsupervised representation learning
Responsibilities
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
Other
- 5+ 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
- Must be able to communicate effectively and have strong interpersonal skills
- 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.
