ApplySarthiMachine Learning Researcher
Jane Street
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408 open researcher roles across 130 companies are on ApplySarthi right now, most of them in Bengaluru (14), Mumbai (2), Delhi NCR (2).
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What researcher roles keep asking for: Python (52%), Machine learning (43%), Deep learning (24%), LLMs (23%), C++ (19%), PyTorch (19%), AWS (14%) — counted across their open postings here.
Deep learning jobs · LLMs jobs · Machine learning jobs · Python jobs
Jane Street has 217 open roles listed here.
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- Machine Learning Compiler Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for researcher roles keep coming back to Python, Machine learning, Deep learning, LLMs. Practise those questions before you sit with Jane Street.
Questions you are likely to be asked
- Why do you want to join Jane Street?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Machine Learning Researcher at Jane Street interview free →About the position
We’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 tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that 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 in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based 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 teammates—all of which we consider to be real and impactful 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 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 problems
- An ability to apply logical and mathematical thinking to all kinds of problems
- Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
- Fluency with a versatile set of models and tricks
- The hands-on coding skills needed to rapidly implement and iterate on your ideas in Python and your favorite ML framework
- An eagerness to ask questions, admit mistakes, and learn new things
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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Listed on greenhouse · posted 2019-05-02. ApplySarthi collects openings and links to application pages; the role is advertised by Jane Street, not by us.