About the position
We’re looking for smart and curious individuals tojoin our growing team and drive our ML work.
On our Machine Learning team, you’ll buildthe deep learning models that power our tradingstrategies, supported by our rapidly growingcomputing cluster with tens of thousands ofhigh-end GPUs. Trading poses unusualchallenges—large models and nonstationary datasetsin a competitive multi-agent environment—thatforce us to search for novel techniques.
At Jane Street, our researchers, engineers, andtraders sit a few feet away from each other andwork together to train models, architect systems,and run trading strategies. Depending on the day,we might be diving deep into market data, tuninghyperparameters, debugging distributed trainingperformance, or studying how our model likes totrade in production.
We’ll rely on your in-depth knowledge of themachine learning landscape and understanding of avariety of approaches—drawn from LLMs,imagemodels, RL agents, recommendation systems, orclassical ML methods—to shape the future of ML atJane Street. You’ll train models for the nextgeneration of our deep learning-based tradingstrategies, and build the fundamentalunderstanding we need to tackle new markets andsituations. You’ll also be hiring new colleagues,attending conferences, and teaching techniques toteammates—all of which we consider to be real andimpactful parts of the job.
About you
If you’ve never thought about a career in finance,you’re in good company. Many of us were in thesame position before working here. If you have acurious mind and a passion for solving interestingproblems, 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 empiricalML problems
- The ability to apply logical andmathematical thinking to all kinds of problems
- Intellectual curiosity and excitementabout state-of-the-art research across many MLproblem domains
- Fluency with a versatile set of modelsand tricks
- The hands-on coding skills needed torapidly implement and iterate on your ideas, inPython and your favourite ML framework
- An eagerness to ask questions, admitmistakes, and learn new things
If you’d like to learn more, you can read aboutour interview process and meet some of theteam.
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