PayPal · 9 hours ago
Sr. Staff ML Engineer, Risk Solutions
San Jose, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$188K/yr - $324K/yr
8+ years expPayPal has been revolutionizing commerce globally for over 25 years, empowering consumers and businesses in approximately 200 markets. The Sr. Staff ML Engineer will lead machine learning initiatives, develop and optimize models, and collaborate with teams to integrate these models into products and services.
E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
Responsibilities
Define and drive the strategic vision for machine learning initiatives within the team
Lead the development and optimization of 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
Ensure adherence to best practices and industry standards in ML development
Qualification
Required
8+ 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
Preferred
Design and lead signal evaluation experiments with lift analysis, feature correlation, and predictive scoring
Build frameworks for measuring signal strength, stability (PSI), and coverage
Collaborate with risk and data teams to identify high-value signals for commercialization
Document methodologies and insights into the GRID signal library
5+ years in data science, applied ML, or quantitative analytics, ideally in fraud or credit risk
Strong hands-on experience with Python, SQL, and model evaluation frameworks
Expertise in predicting and monitoring feature importance
Familiarity with building blocks of distributed systems and technologies like GCP and Kubernetes
Excellent communication skills to translate complex analytical insights into product recommendations
Experience working with financial or behavioral datasets
Fintech and/or SaaS experience a plus
Benefits
Flexible work environment
Employee shares options
Health and life insurance
Medical, dental, vision, and other benefits
Company
PayPal
PayPal is a financial service company that provides online payment solutions to its users worldwide.
10001+ employees
H1B Sponsorship
PayPal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1144)
2024 (917)
2023 (775)
2022 (921)
2021 (1051)
2020 (1049)
Funding
Current Stage
Public CompanyTotal Funding
$12.17BKey Investors
Kohlberg Kravis RobertsBlueRun Ventures
2025-11-17Post Ipo Debt· $6.95B
2023-06-07Post Ipo Debt· $5B
2015-07-20IPO
Leadership Team
Simon Bladon
CEO, UK
chaloem khompitoon
President & CEO
Recent News
2025-12-31
The European Financial Review
2025-12-31
Company data provided by crunchbase