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Sr Machine Learning Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: PayPal, Inc.
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Description Summary

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description Essential 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.
Expected Qualifications
  • 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.
  • Experience with ML frameworks like Tensor Flow, 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.
Additional Responsibilities And

Preferred Qualifications
  • Experience with AI or agentic systems, including exposure to LLM‑based agents, autonomous decision‑making components, or multi‑agent workflows; ability to integrate or operationalize these capabilities within data or ML solutions.
  • Design, develop, and implement predictive models using state‑of‑the‑art ML techniques, including deep neural networks, graph neural networks, transformers, and reinforcement learning.
  • Lead or contribute to research‑driven innovation, experimenting with novel techniques such as self‑supervised learning, representation learning, and continual/incremental learning to address evolving…
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