At a Glance
- Tasks: Boost machine learning performance and work on cutting-edge AI acceleration projects.
- Company: Join XTX Markets, a leading algorithmic trading firm with a diverse and collaborative culture.
- Benefits: Enjoy free meals, gym access, extensive medical benefits, and 25 days paid holiday.
- Other info: Work in a dynamic environment with exceptional career growth opportunities.
- Why this job: Make a real impact in the fast-paced world of finance using state-of-the-art technology.
- Qualifications: Proficient in C/C++/Rust with experience in GPUs or TPUs and solving complex problems.
The predicted salary is between 60000 - 80000 £ per year.
XTX Markets is a leading algorithmic trading firm which uses state‑of‑the‑art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.
We leverage the talent of our team, modern computational techniques, and state‑of‑the‑art research infrastructure to analyse large data sets across markets quickly and efficiently, maximizing the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.
XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world‑class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large‑scale data centre in Finland to future‑prove its significant computational capabilities.
At XTX Markets, technology is our business, and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non‑hierarchical and one where everyone is valued. We strive for excellence in everything we do.
The Role: XTX is seeking an experienced engineer to support our ML Performance and AI Acceleration function. You will be working in a small and highly technical team at extremely high‑ and low‑levels of abstraction to dramatically increase the performance of XTX's training and inference platforms. The remit is wide, and you should expect to be challenged. We are not just writing CUDA code. Amongst other things, you will be working on a sophisticated optimising compiler for a variety of accelerated computing platforms. You should be proficient in memory hierarchies, degrees of parallelism, microarchitectural nuances on instruction dispatch rates and irregular bitwidth numerics. You will also be expected to assist in the design of novel hardware architectures for accelerating our models, mapping AI models from JAX graphs to transistors.
Attributes: You will be an experienced software engineer, likely in C/C++/Rust or a similar language. You will be confident solving complex algorithmic problems. In addition, the following experience would be of particular interest:
- Understanding of, and some experience targeting, GPUs, TPUs, or similar hardware.
- Some experience working with data‑flow oriented compilers for AI or scientific computing.
- Writing Linux kernel modules or other experience in OS development.
Key benefits below and full benefits listed on our website:
- Onsite gym, sauna, and fitness classes at no charge.
- Extensive medical benefits including an on‑site doctor and therapist at no charge.
- Breakfast and lunch provided daily.
- Various supports for caregivers, including emergency dependent care.
- Beautiful Kings Cross office: 25 days paid holiday per year + statutory holiday and paid sick days.
Machine Learning Performance Engineer London, England, United Kingdom employer: XTX Markets
XTX Markets is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets operational excellence. Employees benefit from extensive medical coverage, a culture that fosters professional growth, and the opportunity to engage in high-impact procurement initiatives within cutting-edge technology sectors. Join us to be part of a collaborative team that values your expertise and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Performance Engineer London, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and performance engineering. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice with mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Performance Engineer London, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Performance Engineer role. Highlight relevant experience with C/C++/Rust and any work you've done with GPUs or TPUs. We want to see how your skills align with what we're looking for!
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. Don't forget to mention any unique projects or experiences that set you apart.
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of complex algorithmic problems you've solved. We love seeing how you approach challenges, so share specific instances where your skills made a difference in your previous roles.
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, you can check out more about our culture and benefits while you're there!
How to prepare for a job interview at XTX Markets
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning technologies, especially those relevant to performance engineering. Be ready to discuss your experience with C/C++/Rust and any work you've done with GPUs or TPUs. The more specific examples you can provide, the better!
✨Showcase Problem-Solving Skills
Prepare to tackle complex algorithmic problems during the interview. Practice explaining your thought process clearly and logically. This will demonstrate your ability to think critically and solve issues that may arise in the role.
✨Understand Their Culture
Familiarise yourself with XTX Markets' non-hierarchical culture and teamwork focus. Be ready to share how you’ve collaborated in past roles and how you value respect and open communication within a team. This will show that you’re a good fit for their environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future projects, especially regarding their AI acceleration function. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.