Machine Learning Engineer – R&D, Fraud Intelligence jobs in United States
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PayPal · 2 hours ago

Machine Learning Engineer – R&D, Fraud Intelligence

PayPal has been revolutionizing commerce globally for more than 25 years. They are seeking a Machine Learning Engineer with a research-driven mindset to advance the science of fraud detection and prevention, designing and prototyping decision models to enhance their global fraud infrastructure.

E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
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H1B Sponsor Likelynote

Responsibilities

Assist in the development and optimization of machine learning models
Preprocess and analyze datasets to ensure data quality
Collaborate with senior engineers and data scientists on model deployment
Conduct experiments and run machine learning tests
Stay updated with the latest advancements in machine learning
Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models
Anomaly Detection: Develop and refine algorithms for detecting anomalies and identifying potential fraud patterns
Supervised Learning: Apply supervised learning techniques to build predictive models that accurately identify fraudulent activities
Continuous Learning: Utilize continual learning methods to continuously improve model performance and adapt to new fraud tactics
Collaboration: Work closely with cross-functional teams, including tech, operations, and product teams, to integrate fraud prediction models into various systems and processes
Experimentation and Analysis: Conduct experiments, analyze results, and interpret findings to drive innovation and enhance decision-making processes
Data Integrity: Ensure data integrity and consistency by working closely with business stakeholders and engineers to address critical data challenges
Advocacy: Promote and maintain a data-driven culture by engaging with diverse internal teams and advocating for best practices in data science and fraud prevention

Qualification

Machine LearningAnomaly DetectionSupervised LearningTensorFlowData AnalysisModel DeploymentContinuous LearningCollaborationProblem-SolvingCommunication Skills

Required

Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience
Familiarity with ML frameworks like TensorFlow or scikit-learn
Strong analytical and problem-solving skills

Preferred

Master's degree or PhD in Computer Science, Statistics, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field (STEM)
3+ years of experience within ML Engineering or AI Research roles, with demonstrated expertise in building and deploying real-world predictive models
Experience in fraud prevention and detection
Strong understanding of anomaly detection, supervised learning techniques, and experiential learning methods
Familiarity with decision models for identity and authentication
Experience driving data instrumentation for experimentation and large-scale data collection
Familiarity with building systems that incorporate real-time feedback and continuous learning
Knowledge of reinforcement learning, contextual bandits, sequence models, optimization, or graph mining
Strong interpersonal, written, and verbal communication skills, with experience collaborating across multiple business functions
Experience with AI or agentic systems, including exposure to LLM-based agents, autonomous decision-making components, or multi-agent workflows

Benefits

Flexible work environment
Employee shares options
Health and life insurance
Medical, dental, vision, and other benefits

Company

PayPal is a financial service company that provides online payment solutions to its users worldwide.

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 (945)
2024 (918)
2023 (775)
2022 (921)
2021 (1051)
2020 (1049)

Funding

Current Stage
Public Company
Total Funding
$12.17B
Key Investors
Kohlberg Kravis RobertsBlueRun Ventures
2025-11-17Post Ipo Debt· $6.95B
2023-06-07Post Ipo Debt· $5B
2015-07-20IPO

Leadership Team

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Simon Bladon
CEO, UK
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chaloem khompitoon
President & CEO
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Company data provided by crunchbase