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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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Machine Learning Researcher

janestreet
Found 2 months ago
Location
London, United Kingdom
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • deep learning models
  • LLMs
  • image models
  • RL agents
  • recommendation systems
  • classical ML methods
  • Python
  • ML framework

Soft Skills

  • curious individuals
  • curious mind
  • passion for solving interesting problems
  • logical and mathematical thinking
  • Intellectual curiosity
  • excitement about state-of-the-art research
  • eagerness to ask questions
  • admit mistakes
  • learn new things

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.

Requirements

  • 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
  • Fluency in English

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Machine Learning Researcher
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