Machine Learning Researcher

Jane Street; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Jane Street is seeking individuals for their Machine Learning team. You will build deep learning models to enhance trading strategies, utilizing cutting-edge hardware to address complex challenges in a competitive market environment.

The ideal candidates will have experience with empirical machine learning problems and a strong coding background in Python. If you possess intellectual curiosity and a passion for solving challenging problems, Jane Street offers a collaborative and impactful career path.

Qualifications

• Experience with deep learning models in trading.
• Ability to work collaboratively in a fast-paced environment.
• Eagerness to learn and adapt in machine learning.

Responsibilities

• Build deep learning models for trading strategies.
• Work with a large computing cluster utilizing high-end GPUs.
• Train models and tackle new market situations.

Skills

Practical experience working on empirical ML problems

Logical and mathematical thinking

Intellectual curiosity

Fluency with various ML models

Hands-on coding in Python

Job description

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
• The 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 favourite ML framework
• An eagerness to ask questions, admit mistakes and learn new things

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