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About the PositionWe''re looking for smart and curious individuals to join our growing team and drive our ML work.On our Machine Learning team, you''ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of highend GPUs. Trading poses unusual challengeslarge models and nonstationary datasets in a competitive multiagent environmentthat force us to search for novel techniques.At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.We''ll rely on your indepth knowledge of the machine learning landscape and understanding of a variety of approachesdrawn from LLMs, image models, RL agents, recommendation systems or classical ML methodsto shape the future of ML at Jane Street. You''ll train models for the next generation of our deep learningbased trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You''ll also be hiring new colleagues, attending conferences and teaching techniques to teammatesall of which we consider to be real and impactful parts of the job.About YouIf you''ve never thought about a career in finance, you''re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you''ll fit right in. There''s no fixed set of skills we are looking for, but you should bring:Practical experience working on empirical ML problemsThe ability to apply logical and mathematical thinking to all kinds of problemsIntellectual curiosity and excitement about stateoftheart research across many ML problem domainsFluency with a versatile set of models and tricksThe handson coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML frameworkAn eagerness to ask questions, admit mistakes and learn new thingsFluency in EnglishIf you''d like to learn more, you can read about our interview process and meet some of the team- #J-18808-Ljbffr