At a Glance
- Tasks: Build and test machine learning models for trading strategies in a fast-paced environment.
- Company: Join Jane Street, a leader in innovative financial technology.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Collaborative team culture with opportunities to attend conferences and mentor others.
- Why this job: Shape the future of machine learning in finance and make impactful contributions.
- Qualifications: Deep ML experience and strong communication skills required.
The predicted salary is between 36000 - 60000 £ per year.
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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Machine Learning Researcher employer: Jane Street
At Jane Street, we pride ourselves on being an exceptional employer, particularly for those passionate about machine learning and software engineering. Our collaborative work culture fosters innovation and creativity, allowing employees to experiment and grow within a dynamic trading environment. With ample opportunities for professional development and a commitment to maintaining a supportive atmosphere, we empower our team members to push the boundaries of technology while enjoying a fulfilling career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Jane Street on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your ML projects, especially those that involve trading strategies or financial data. This will help us demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and ML techniques. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your deep ML experience and showcases any relevant projects or research. We want to see how your skills align with the role, so don’t hold back on those impressive achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a great fit for our team. Let us know what excites you about the role at Jane Street.
Showcase Your Communication Skills:As we value good communicators, make sure to demonstrate your ability to explain complex ML concepts clearly in your application. This will help us see how you can contribute to our collaborative environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jane Street
✨Know Your ML Techniques
Make sure you brush up on a wide variety of machine learning techniques before the interview. Be ready to discuss your experience with different models, feature transformations, and hyperparameter tuning. This will show that you have the deep understanding they’re looking for.
✨Prepare Real-World Examples
Think of specific projects or problems you've tackled in the past that relate to the role. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Communicate Clearly
Since good communication is key for this role, practice explaining complex concepts in simple terms. You might be asked to describe your work to someone without a technical background, so being able to break it down will set you apart.
✨Show Your Passion for Tinkering
Express your enthusiasm for experimenting with model architectures and strategies. Share any personal projects or research you’ve done outside of work that showcases your passion for machine learning. This will highlight your proactive approach and love for the field.
