PayPal is looking to design, build, and optimize large-scale, real-time personalization and recommendation systems that power key customer experiences across PayPal.
Requirements
- 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.
- Strong software engineering background with proficiency in Python, Java, or Scala.
- Hands-on experience with distributed systems and streaming technologies such as Kafka, Flink, Spark, or similar.
- Solid understanding of ML model lifecycle, including training, deployment, monitoring, and continuous improvement.
- Experience working with cloud-native architectures and modern CI/CD pipelines.
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.
- Develop scalable ML pipelines and real-time inference services.
- Implement robust data and feature workflows, and transform experimental models into reliable production solutions.
Other
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- 3 years of experience in machine learning engineering or applied ML development.
- Experience building and scaling ML systems in production, particularly related to personalization, recommendations, ranking, or embeddings.
- Ability to collaborate effectively in cross-functional teams and communicate clearly with technical stakeholders.
- 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.
