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 collaborative culture.
- Benefits: Enjoy free meals, gym access, extensive medical benefits, and generous holiday leave.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the fast-paced world of finance using advanced technology.
- Qualifications: Proficient in C/C++/Rust with experience in GPU/TPU targeting and algorithmic problem-solving.
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 New London, England, United Kingdom employer: XTX Markets
XTX Markets is an exceptional employer, offering a dynamic work environment in the heart of London where cutting-edge technology meets collaborative teamwork. With extensive benefits such as an onsite gym, daily meals, and comprehensive medical support, employees are empowered to thrive both personally and professionally. The firm fosters a culture of respect and innovation, providing ample opportunities for growth and development within a diverse team of world-class experts.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Performance Engineer New London, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at XTX Markets. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or two that highlights your machine learning prowess, share them. Whether it's on GitHub or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Brush up on your algorithms and be ready to discuss how you’d tackle performance challenges at XTX. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Machine Learning Performance Engineer New 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 and skills that match the job description, especially your proficiency in C/C++/Rust and any work with GPUs or TPUs.
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 XTX Markets. Don’t forget to mention any unique projects or achievements!
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of complex algorithmic problems you've solved. This will demonstrate your analytical thinking and technical prowess, which are key for this role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at XTX Markets!
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 and frameworks, especially those relevant to XTX Markets. Be prepared to discuss your experience with CUDA, GPUs, and any other hardware you've worked with. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Problem-Solving Skills
Be ready to tackle complex algorithmic problems during the interview. Practice explaining your thought process clearly and concisely. Use examples from your past work where you successfully solved challenging issues, particularly in performance optimisation or compiler design.
✨Understand the Company Culture
Familiarise yourself with XTX Markets' non-hierarchical and collaborative culture. During the interview, highlight your teamwork experiences and how you value open communication. This will demonstrate that you’re a good fit for their environment and can contribute positively to their team dynamics.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current projects, challenges they face, or future directions in AI acceleration. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.