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About
Join PayPal’s Consumer Product Catalog and Consumer Search team and help build the next generation of product discovery for millions of global shoppers. We own the backend and data infrastructure that powers search, recommendations, and catalog knowledge at global scale. As a Machine Learning Engineer, you’ll contribute to key components of the product search stack – including indexing pipelines and query‑time services that deliver fast and relevant search results. You’ll collaborate closely with backend engineers and catalog data teams to enable intelligent, contextual, and scalable search capabilities. Essential 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. Expected Qualifications
5+ years relevant experience and a Bachelor’s degree OR 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. Additional Responsibilities & Preferred Qualifications
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. Benefits
PayPal offers comprehensive, choice‑based programs to support physical, emotional, and financial well‑being, including generous paid time off, health care coverage for employees and families, and resources for financial security and mental health. PayPal’s balanced hybrid work model offers 3 days in the office and 2 days remote per week. Pay range: San Jose, California: $196,500 – 291,500 (Salary). Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact paypalglobaltalentacquisition@paypal.com.
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Languages
- English
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