PayPal is looking to build the next generation of product discovery for millions of global shoppers by improving search, recommendations, and catalog knowledge at a global scale.
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.
- Strong proficiency in Python, Scala, or other programming languages.
- Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.
- Experience working on search or recommendation systems at scale.
- Familiarity with A/B testing and experimentation methodologies for search relevance improvement.
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.
- Strong communication and collaboration skills, with the ability to work effectively across teams and contribute to a high-performing engineering culture.
- 0% travel required.
- 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.
