PhD Machine Learning Engineer, New Grad

reputed company is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use reputed company to accept payments, grow their reputed company, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work reputed company. That means you have an unprecedented opportunity to put the global economy reputed company everyone’s reputed company while doing the most important work of your career..

reputed company'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 reputed company's suite of products, focusing on areas such as reputed company models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.

You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the reputed company Assistant and the reputed company reputed company Model, which reputed company machine learning to revolutionize how businesses interact with financial services and data.

• reputed company and reputed company 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 reputed company reputed company 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.

• A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely reputed company 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 asPython, reputed company, 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 reputed company 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 reputed company your work to both team members and wider reputed company audiences.

Please submit the following with your application:

• A description of your work history (either a resume, reputed company Profile, website, or other portfolio of work)
• Examples of relevant work and your approach to learning, such as reputed company repositories, StackOverflow contributions, or other project portfolios.