About the job
Join PayPal's Consumer Product Catalog and Search team building next-generation product discovery for millions of global shoppers. As a Machine Learning Engineer, you'll develop indexing pipelines and query-time services delivering fast, relevant search results. Collaborate with backend engineers and catalog data teams to enable intelligent, scalable search capabilities.
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.
Qualifications
Minimum
5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
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.
Preferred
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.
Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.
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.