PayPal is looking to develop and optimize machine learning models for various applications, preprocess and analyze large datasets, deploy ML solutions into production, and collaborate with cross-functional teams to integrate ML models into products and services.
Requirements
- deep learning architectures, building, fine-tuning and deploying ML models in production.
- Strong proficiency in Python, Scala, or other programming languages.
- Familiarity with ML frameworks (TensorFlow, PyTorch, XGBoost, etc.).
- Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.
- 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.
- Familiarity with A/B testing and experimentation methodologies for search relevance improvement.
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.
- building, fine-tuning and deploying ML models in production.
- Experience working on search or recommendation systems at scale.
Other
- Strong communication and collaboration skills, with the ability to work effectively across teams and contribute to a high-performing engineering culture.
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- 8+ years of industry experience
- Bachelor’s or Master’s in Computer Science, Software Engineering, Machine Learning, or related field.
