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Senior Machine Learning Engineer Machine Learnin

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Venmo
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 137500 - 236500 USD Yearly USD 137500.00 236500.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer United States of America Machine Learnin[...]
## Senior Machine Learning Engineer San Jose, California, United States of America
** The Company
** Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  

Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk.

We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
*
* Job Summary:

** As a Machine Learning Engineer on Venmo’s Data Science team, you’ll tackle high-impact challenges that shape how millions of people move and manage money with friends, family, and businesses. Our work spans personalization, retention, trust, discovery, and growth — from predicting churn before it happens to powering Venmo’s search and recommendations, to building smarter fraud and risk models. You’ll leverage Venmo’s unique social graph and financial ecosystem to design ML solutions that drive engagement, safety, and meaningful product experiences.
*
* Job Description:

** With a strong background in Machine Learning and practical experience in building and implementing predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.

Key Roles and

Responsibilities include:

* Develop and implement advanced ML models, such as gradient boosted decision tree, LLMs, Clustering and deep learning models, to solve critical business problems related to Venmo.
* Design and deploy scalable ML/AI solutions that enhance Venmo's ability to provide a seamless customer experience, by working closely with our engineering group
* Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.

Basic Requirements:
* Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experience
* Great track record delivering solutions with attention to detail and efficiency
* Experience in any one of Product or Marketing domains is a big plus
* Proficient in Programming…
Position Requirements
10+ Years work experience
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