Jane Street jobs

We are seeking an engineer with expertise in low-level systems programming and optimization to join our expanding ML team. Machine learning is a crucial component of Jane Street's global business, and our dynamic trading environment provides a unique platform for rapid ML experimentation. Your primary role will be to optimize the performance of our machine learning models, encompassing both training and inference. This involves ensuring efficient large-scale training, low-latency inference for real-time systems, and high-throughput inference for research. The work requires a holistic systems approach, considering storage, networking, and host/GPU-level factors, down to the most granular details of hardware performance.

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We are seeking a Research Engineer with a strong background in machine learning and mathematics to join our expanding ML team. You will play a key role in shaping the future of our ML platform, leveraging our dynamic trading environment for rapid experimentation and innovation. Our team values software engineering craft and the creation of user-friendly APIs and systems. Your expertise will guide our decision-making on applying the most effective ML tools, from neural networks to ensemble methods, and will focus on improving research workflows for faster feedback loops. We are looking for individuals who can deeply understand and articulate the mathematics behind various modeling techniques, acting as a crucial link between research and engineering to advance our model capabilities across the entire technology stack. This could involve scaling our technology, prototyping new research ideas with Researchers, or developing workflow APIs for diverse applications.

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We are seeking intelligent and curious individuals to join our Machine Learning team and advance our ML initiatives. You will develop deep learning models that drive our trading strategies, leveraging a substantial computing cluster with numerous high-end GPUs. The unique challenges of trading, including large models, non-stationary datasets, and competitive multi-agent environments, necessitate the exploration of novel techniques. Collaboration is key, with researchers, engineers, and traders working closely to train models, design systems, and execute trading strategies. Your role will involve analyzing market data, optimizing hyperparameters, troubleshooting distributed training, and studying model behavior in production. You will contribute to shaping the future of ML at Jane Street by training next-generation deep learning models for trading strategies and building foundational knowledge for new markets.

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