Sr Machine Learning Engineer jobs in United States
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PayPal · 2 hours ago

Sr Machine Learning Engineer

PayPal has been revolutionizing commerce globally for more than 25 years, empowering consumers and businesses in approximately 200 markets. The Sr Machine Learning Engineer will be responsible for independently validating and overseeing high-impact statistical, machine learning, and AI models, collaborating with developers and business partners to ensure model soundness and compliance with risk governance.

E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
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H1B Sponsor Likelynote

Responsibilities

Develop and optimize machine learning models for various applications
Preprocess and analyze large datasets to extract meaningful insights
Deploy ML solutions into production environments using appropriate tools and frameworks
Collaborate with cross-functional teams to integrate ML models into products and services
Monitor and evaluate the performance of deployed models

Qualification

Machine LearningStatistical TechniquesModel DeploymentProgramming (Python)Cloud PlatformsBig Data TechnologiesModel GovernanceCollaboration SkillsCommunication SkillsProblem Solving

Required

3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
Several years of experience in designing, implementing, and deploying machine learning models

Preferred

Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field
Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs)
Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark
Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research
Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team
Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions
Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications
Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus

Benefits

Flexible work environment
Employee shares options
Health and life insurance

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