PayPal is looking to develop and optimize machine learning models for various applications, preprocess and analyze large datasets, deploy ML solutions into production, collaborate with cross-functional teams, and monitor the performance of deployed models.
Requirements
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- 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.
- 8+ years of industry experience with 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.).
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
- Strong communication and collaboration skills, with the ability to work effectively across teams and contribute to a high-performing engineering culture.
- Experience working on search or recommendation systems at scale.
- Familiarity with A/B testing and experimentation methodologies for search relevance improvement.
- PayPal is committed to fair and equitable compensation practices.
- For the majority of employees, 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, ensuring that you equally have the benefits and conveniences of both locations.
