PhD Machine Learning Engineer, Intern

Remote, USA Full-time
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. What you’ll do About the internship Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. Responsibilities Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching machine learning models. Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are Minimum requirements A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2026 or spring/summer 2027. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such asPython, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. Intent to return to the degree-program after the completion of the internship/co-op. Preferred qualifications You Might Also Have: Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. Published and presented peer-reviewed articles in top-tier venues. Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. Familiarity with navigating new codebases and managing work across different programming languages. Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: A detailed resume or LinkedIn profile showcasing your work history. Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure. Apply to this Job

Apply Now

Similar Jobs

Head of Enterprise Sales, Existing Business - AMER

Remote, USA Full-time

Channel Sales Executive, SaaS Platforms

Remote, USA Full-time

Manager, Revenue Operations Analytics

Remote, USA Full-time

Associate Partner Marketing Manager

Remote, USA Full-time

Senior Client Solutions Manager - Performance Marketing

Remote, USA Full-time

Care Expert - France

Remote, USA Full-time

Outside Property Claim Representative Trainee

Remote, USA Full-time

Senior Program Manager - AI and Data

Remote, USA Full-time

Representante de Vendas Jr | Pleno Cardiometabolismo | São Paulo

Remote, USA Full-time

Platform Engineer (x/f/m) - Tech Foundations

Remote, USA Full-time

Software Engineer, AI Studio

Remote, USA Full-time

Public Relations Marketing Specialist, Freelancer

Remote, USA Full-time

Pharmacist - Relocation Available

Remote, USA Full-time

Construction Laborer

Remote, USA Full-time

**Experienced Full Stack Data Entry Specialist – Real-time Customer Data Platform (CDP) Management and Adobe Experience Platform (AEP) Administration**

Remote, USA Full-time

Experienced Full-Time Residential Multi-State Title Reader - Remote Opportunity with Competitive Salary and Comprehensive Benefits

Remote, USA Full-time

Remote Pharmacy Technician Opportunity

Remote, USA Full-time

Experienced Remote Amazon Data Entry Specialist – Flexible Part-Time Opportunities with Competitive Pay and Benefits

Remote, USA Full-time

South Carolina - Contract Therapist

Remote, USA Full-time

Experienced Technical Customer Care Specialist II – Automotive Inventory Support and Customer Service Expert

Remote, USA Full-time
Back to Home