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Machine Learning Engineer at Jane Street | New York

Jane StreetNew York, New York, United States
On-site Full-time

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Experience Level

Experience

Qualifications

Proven experience in developing and maintaining training and inference infrastructures, with a clear grasp of transitioning from concept to production. A robust mathematical foundation; ideal candidates will be enthusiastic about topics such as optimization theory, regularization techniques, and linear algebra. A keen interest in staying abreast of the latest advancements in the field, whether through academic literature, hardware experimentation, or exploring new machine learning libraries. Demonstrated ability to establish and maintain a well-organized research codebase that yields reliable and reproducible outcomes while ensuring user-friendliness. Proficient in utilizing an ML framework—while we favor PyTorch, we are eager to learn about your experience with Jax, TensorFlow, or other platforms. A creative mindset and the courage to question our methodologies and tool selections. Fluency in English.

About the job

Join our dynamic Machine Learning team at Jane Street, where we are seeking a talented Machine Learning Engineer with extensive experience in the field and a solid mathematical background. You will play a crucial role in shaping the direction of our cutting-edge ML platform.

Machine learning is a vital component of Jane Street's global operations. Our rapidly evolving trading environment provides a unique platform for ML experimentation, enabling us to seamlessly integrate innovative ideas. Our team is composed of passionate individuals dedicated to the art of software engineering and the creation of user-friendly APIs and systems.

We depend on your deep understanding of the ML landscape and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—to facilitate informed decision-making and ensure we employ the most effective tools for each challenge. Your contributions will also focus on refining research workflows to enhance feedback loops. Successful candidates will grasp the underlying mechanics of different modeling techniques and possess the ability to articulate the mathematical principles that govern them.

If finance is a new frontier for you, you're not alone—many of us were once in your shoes. While we don't have a strict checklist of qualifications, if you possess a curious mind and a drive to tackle intriguing challenges, we believe you’ll thrive in our environment.

About Jane Street

Jane Street is a leading global trading firm that leverages advanced technology and innovative strategies to stay at the forefront of the financial markets. Our culture promotes collaboration, creativity, and continuous learning, making it an ideal environment for those passionate about technology and finance.

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