Venmo · 15 hours ago
Staff Machine Learning Engineer
San Jose, CA
Full-time
Hybrid
Lead/Staff
$170K/yr - $292K/yr
8+ years expPayPal has been revolutionizing commerce globally for over 25 years, and they are seeking a Staff Machine Learning Engineer for Venmo’s Data Science team. The role focuses on designing and deploying production-scale machine learning solutions to enhance user engagement and product experiences while collaborating with various teams to push the boundaries of machine learning applications.
FinanceFinTechMobilePayments
Responsibilities
Design, build, and deploy production-grade machine learning models that power personalization, search, ranking, discovery, and other core product experiences
Use machine learning to drive monetization and deliver user value—supporting initiatives such as pricing strategy, feature optimization, and behavioral targeting
Partner with product managers, engineers, and designers to identify high-impact opportunities, frame problems as ML tasks, and define measurable success
Lead the full lifecycle of model development—from data exploration and feature engineering to validation, deployment, and monitoring in production
Conduct rigorous offline evaluations and design online experiments (e.g., A/B tests) to assess model impact and guide iteration
Collaborate with data and platform engineering teams to ensure scalable infrastructure, low-latency serving, and long-term system maintainability
Communicate technical insights and data-driven recommendations clearly to both technical and non-technical stakeholders
Mentor junior scientists and contribute to the evolution of Venmo’s machine learning strategy, practices, and team culture
Qualification
Required
Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics
8+ years of industry experience applying machine learning to real-world problems at scale, preferably in product or platform settings
Strong proficiency in Python and experience with modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost)
Expertise in supervised and unsupervised learning; experience with NLP, ranking systems, or user behavior modeling is a plus
Proficiency in SQL and experience working with large-scale data systems in cloud-based environments (e.g., BigQuery, Spark, Airflow)
Demonstrated success deploying ML models in production, including monitoring, retraining, and debugging
Excellent problem-solving and communication skills, with the ability to translate complex technical ideas into actionable product insights
A collaborative mindset with a passion for mentoring, experimentation, and continuous improvement
Preferred
Experience in social platforms, fintech, consumer apps, or payments ecosystems
Familiarity with real-time ML model serving and streaming infrastructure
Contributions to research publications or open-source ML projects
Benefits
Annual performance bonus (or other incentive compensation, as applicable)
Equity
Medical, dental, vision, and other benefits
Flexible work environment
Employee shares options
Health and life insurance
Company
Venmo
Venmo offers an app that allows users to share and make payments with friends for a variety of services.
201-500 employees
H1B Sponsorship
Venmo 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
Growth StageTotal Funding
$1.3MKey Investors
RRE Ventures
2014-01-01Acquired
2011-08-01Series A
2010-05-07Seed· $1.2M
Leadership Team
Melissa Glassman
Head of Partnership Marketing
Sofia Capretta
Partnerships Marketing Manager
Recent News
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2026-01-24
Accel.
2026-01-09
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