Principal Machine Learning Engineer

PayPal

San Jose, Arizona, United States

San Jose, Arizona, United States

Über

Job Summary This job will drive the strategic vision and development of cutting‑edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Essential Responsibilities Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. Lead the development and optimization of state‑of‑the‑art 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. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Lead the development of new methodologies and frameworks for ML applications. Minimum Qualifications 10+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit‑learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Proven track record of leading the design, implementation, and deployment of machine learning models. Additional Responsibilities & Preferred Qualifications 10+ years in ML engineering, with deep expertise in recommendation systems, search ranking, or personalization at consumer scale. Production experience with learning‑to‑rank, contextual bandits, or real‑time recommendation systems serving millions of users. Track record building ML that drives business metrics — focus on engagement, conversion, and retention, not just model accuracy. Experience with social platform ML: feed ranking, social graph models, content discovery, or network growth at a company where social interaction is core to the product. Strong platform design skills — feature stores, model serving, experiment infrastructure. Experience with graph‑based ML: social graph embeddings, transaction graphs, or knowledge graphs. Strong data engineering instincts — BigQuery, Spark, Airflow, dbt — understanding the full pipeline from raw data to model prediction. Pay Range Primary Location: San Jose, California – ($242,000.00 – $359,150.00 Annually) Additional Locations: None currently assigned to this requisition. Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable. Our Benefits At PayPal, we’re committed to building an equitable and inclusive global economy. We offer comprehensive, choice‑based programs to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We provide generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health. Equal Employment Opportunity 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. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.
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San Jose, Arizona, United States

Sprachkenntnisse

English

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