ApplySarthiMachine Learning Engineer
Janestreet
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1,591 open learning roles across 364 companies are on ApplySarthi right now, most of them in Bengaluru (52), Hyderabad (29), Delhi NCR (7).
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What learning roles keep asking for: Machine learning (64%), Python (55%), PyTorch (39%), LLMs (29%), Deep learning (28%), C++ (21%), AWS (20%), TensorFlow (18%) — counted across their open postings here.
Machine Learning Engineer jobs in the United Kingdom · Machine Learning Engineer jobs in London · Remote Machine Learning Engineer jobs · Machine learning jobs
Janestreet has 22 open roles listed here.
- Software Engineer
- Technical Product Manager
- Software Engineer
- Senior Network Engineer
- Network Security Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, PyTorch, LLMs. Practise those questions before you sit with Janestreet.
Questions you are likely to be asked
- Why do you want to join Janestreet?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Machine Learning Engineer at Janestreet interview free →About the Position
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning page.
During the programme, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.
The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills.
Learn more about Jane Street's internship programme here.
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, a collaborative spirit, 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, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow
- A top-notch programmer with a love for technology
- Intellectually curious, collaborative, and eager to learn
- Humble and unafraid to ask questions and admit mistakes
- Fluent in English
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Listed on arbeitnow · posted 2026-11-13. ApplySarthi collects openings and links to application pages; the role is advertised by Janestreet, not by us.