# PhD Machine Learning Engineer, New Grad

[Stripe](https://www.jorb.ai/firms/stripe.md) · New York · United States · [Machine Learning Engineering](https://www.jorb.ai/jobs/machine-learning-engineering.md)

Stripe is hiring a PhD Machine Learning Engineer, New Grad in New York. Posted 2025-12-16; applications close 2026-02-14.

**Apply**: https://stripe.com/jobs/search?gh_jid=7216668

Posted 4mo ago.

## Role details

## 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 substantial amount of work ahead. This is an opportunity to help put the global economy within everyone’s reach while contributing to important work in your career.

### About the team

Stripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 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 multiple tasks, including fraud detection, enhanced support, and predicting user behavior.

You will tackle challenging problems at the intersection of finance, technology, and data. You will work on innovative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to transform how businesses interact with financial services and data.

## What you’ll do

### 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 the 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 2025 or spring/summer 2026.
  
- Practical experience with programming and machine learning, evidenced by projects, coursework, or research. Familiarity with languages such as Python, 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.

### Preferred qualifications

  
- 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 description of your work history (resume, LinkedIn profile, website, or other portfolio of work).
  
- Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.

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Updated: 2026-04-22
Canonical: https://www.jorb.ai/jobs/69503bea24b8d487f7451b1d