PhD Machine Learning Engineer, New Grad

Stripe is a financial infrastructure platform for businesses, providing tools for payment processing and revenue growth. The PhD Machine Learning Engineer role focuses on developing and deploying large-scale machine learning systems to enhance Stripe's products and tackle complex challenges at the intersection of finance and technology.

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

Skills

• 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, classwork, 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
• 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

Benefits

• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Company Overview

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