At a Glance
- Tasks: Collaborate with machine learning researchers on exciting, real-world projects.
- Company: Join Jane Street, a leading firm in finance and technology.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge ML techniques.
- Other info: Dynamic environment with opportunities for growth and learning.
- Why this job: Dive into complex problems and make a tangible impact in the finance world.
- Qualifications: Undergraduate or PhD student with practical ML experience and a curious mindset.
The predicted salary is between 22500 - 27500 £ per year.
You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work.
You might conduct an end-to-end study of an unexplored dataset, try a new modelling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out.
The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise.
Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analysing the predictions your model makes.
Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.
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.
We're more interested in how you think and learn than what you currently know.
You should be
- An undergraduate, Ph D student, or postdoc with practical experience working on ML problems.
- Interested in applying logical and mathematical thinking to all kinds of problems.
- Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains.
- Fluent with a versatile set of models and tricks.
- Able to rapidly implement and iterate on your ideas in Python and your favourite ML framework.
- Eager to ask questions, admit mistakes, and learn new things.
- Fluent in English.
If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.
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ꓟachine ꓡearning ꓣesearcher in City of Westminster employer: Jane Street
At Jane Street, we pride ourselves on being an exceptional employer, offering a unique blend of cutting-edge machine learning research and real-world trading applications. Our collaborative work culture fosters innovation and continuous learning, providing interns with unparalleled access to vast datasets and advanced computing resources. With a focus on personal and professional growth, you'll have the opportunity to work alongside experienced researchers, tackling complex challenges that push the boundaries of machine learning in finance.
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