Staff Machine Learning Engineer, Product Catalog
About The Position
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. We seek motivated engineers who thrive solving complex problems in large-scale search systems. Tackle challenges including query and document understanding, product entity modeling, taxonomy structuring, retrieval/ranking algorithms, and search quality evaluation. Build models enhancing search relevance and ranking across the PayPal ecosystem. The ideal candidate brings strong machine learning systems experience, owns projects from research through production deployment, and is eager to shape modern AI-powered search experiences.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security
- Support your mental health
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
