London, England, United Kingdom · On-site
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Skills: Machine Learning, Deep Learning, Python, Mathematical Thinking, Logical Thinking
London, England, United Kingdom · On-site
About the position We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power…
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London, England, United Kingdom · On-site
About the Position We are excited to announce research internships in our Tools and Compilers group. We're looking for PhD and masters students with outstanding research experience in programming languages, compilers, ve…
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London, England, United Kingdom · On-site
About the Position We're looking for software engineers and researchers to establish a new Formal Methods team at Jane Street. With the emergence of agentic programming, we think formal methods will play a major role in …
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London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Remote Solely
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Remote Solely
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Remote OK
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London, England, United Kingdom · Hybrid
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You will build deep learning models to power trading strategies and collaborate closely with traders and engineers to architect systems. Additionally, you will be responsible for hiring new colleagues, attending conferences, and teaching technical techniques to your teammates.
Candidates should have practical experience with empirical machine learning problems and strong logical and mathematical thinking skills. Proficiency in Python and familiarity with various machine learning frameworks are required to rapidly implement and iterate on research ideas.
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.
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:
If you’d like to learn more, you can read about our interview process and meet some of the team.
If you're a recruiting agency and want to partner with us, please reach out to [email protected]
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we’re just getting started. Jane Street does not offer any services to individual investors: https://www.janestreet.com/fraud-and-impersonation-warnings/
Offices: 250 Vesey Street, New York, NY 10281, US · 2 & A Half, Devonshire Square, London, EC2M 4UJ , GB · 10th Floor, Chater House, 8 Connaught Rd., Hong Kong, Central, HK · WTC Tower Ten - L19, Strawinskylaan 1657, Amsterdam, 1077 XX , NL · 10 Collyer Quay, 4/F, Ocean Financial Centre, Singapore, 049315, SG
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