PayPal is looking for a Senior Machine Learning Engineer to join its Ads Tech team. You will help build PayPal’s next-generation advertising platform, a greenfield project leveraging advanced AI and large-scale systems engineering to utilize the firm’s rich merchant and transaction data. You will design and develop key parts of this new platform.
What You'll Do
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
What We're Looking For
- 3+ years of relevant experience and a Bachelor’s degree, or any equivalent combination of education and experience.
Nice to Have
- 5+ years of experience developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch.
- Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification.
- Proven experience in customer segmentation and/or recommendation systems tailored to client needs.
- Work with transformer models (e.g., BERT, GPT) in real applications.
Technical Stack
- Python, TensorFlow, Keras, PyTorch
- Graph Neural Networks (GNNs)
- Transformer models (BERT, GPT)
Team & Environment
We believe in egoless programming—everybody is an equal and we value learning from and helping each other.
Benefits & Compensation
- Flexible work environment
- Employee shares options
- Health and life insurance
- Compensation for New York City, New York: $143,500.00 - $212,850.00 Annually
Work Mode
This is a hybrid position based in New York City, New York.
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.
