At a Glance
- Tasks: Enhance machine learning performance through low-level engineering and optimisation.
- Company: Join XTX Markets, a top algorithmic trading firm using cutting-edge machine learning technology.
- Benefits: Enjoy a collaborative culture, diverse teams, and access to extensive computational resources.
- Other info: Opportunity to work on advanced hardware and contribute to innovative projects.
- Why this job: Be part of a non-hierarchical environment where your contributions truly matter.
- Qualifications: Proficiency in C/C++/Rust and experience with complex algorithmic problem-solving required.
The predicted salary is between 48000 - 72000 £ 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‑proof 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.
Benefits
- 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.
- Generous Pension contributions.
Machine Learning Performance Engineer in London 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 in London
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and hardware acceleration. Understanding how to optimise algorithms for specific hardware can set you apart, especially since XTX Markets focuses on pushing hardware limits.
✨Tip Number 2
Engage with the community by participating in forums or attending conferences related to machine learning and performance engineering. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Showcase your practical experience by working on personal projects that involve optimising machine learning models or developing low-level software. This hands-on experience will demonstrate your skills and passion for the role.
✨Tip Number 4
Research XTX Markets' current projects and technologies they use. Tailoring your discussions during interviews to reflect your understanding of their work can highlight your genuine interest and fit for the team.
We think you need these skills to ace Machine Learning Performance Engineer in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly understand the responsibilities and requirements of the Machine Learning Performance Engineer position at XTX Markets. Familiarise yourself with their focus on computation and networking acceleration, as well as the technologies they use.
Tailor Your CV:Craft your CV to highlight relevant experience in software engineering, particularly in C/C++/Rust. Emphasise any work you've done with machine learning, hardware optimisation, or algorithmic problem-solving to align with the job description.
Write a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that demonstrate your ability to enhance machine learning performance and your familiarity with the technologies mentioned in the job description.
Proofread and Edit:Before submitting your application, carefully proofread your CV and cover letter. Check for any grammatical errors or typos, and ensure that your documents are clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at XTX Markets
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C/C++/Rust and any relevant projects you've worked on. Highlight specific examples where you've solved complex algorithmic problems, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company’s Technology Stack
Familiarise yourself with XTX Markets' use of machine learning and their computational resources. Knowing about their focus on GPUs and deep learning architectures will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving algorithmic problems and optimising code, as this will be crucial for demonstrating your ability to enhance machine learning performance effectively.
✨Emphasise Teamwork and Collaboration
XTX Markets values teamwork and diversity, so be ready to discuss how you've successfully collaborated with others in past roles. Share examples of how you contributed to a team environment and how you value different perspectives in problem-solving.