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 an onsite gym, free meals, extensive medical benefits, and generous holiday allowance.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- 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 complex algorithmic problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
The Firm 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
Too many to list! 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: Office Video
- 25 days paid holiday per year + statutory holiday and paid sick days.
- Generous Pension contributions.
Machine Learning Performance Engineer in London employer: The Firm XTX Markets
XTX Markets is an exceptional employer, offering a dynamic and collaborative work environment where cutting-edge technology meets diverse talent. With extensive benefits including an onsite gym, daily meals, and comprehensive medical support, employees are empowered to thrive both personally and professionally. The firm's commitment to innovation and excellence, coupled with its non-hierarchical culture, ensures that every team member's contributions are valued, making it an ideal place for those seeking meaningful and rewarding careers in the fast-paced world of algorithmic trading.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Performance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at XTX Markets. Use LinkedIn or even Twitter to connect with current employees and ask them about their experiences. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source that highlight your expertise in machine learning or performance engineering, make sure to showcase them. A personal website or GitHub profile can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. We want to see how you think and solve problems, so get comfortable with explaining your thought process!
✨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, it shows you’re genuinely interested in joining our team at XTX Markets. Let’s get you in the door!
We think you need these skills to ace Machine Learning Performance Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Performance Engineer role. Highlight relevant experience, especially in C/C++/Rust and any work with GPUs or TPUs. We want to see how your skills align with our cutting-edge tech!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our team. Be specific about your experiences and how they relate to the challenges we face at XTX Markets.
Showcase Your Projects:If you've worked on any projects related to AI acceleration or optimising compilers, make sure to include them! We love seeing practical examples of your work that demonstrate your problem-solving skills and technical expertise.
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’ll find all the details about our amazing benefits there!
How to prepare for a job interview at The Firm XTX Markets
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning technologies and programming languages like C/C++/Rust. Be ready to discuss specific projects where you've optimised performance or tackled complex algorithmic challenges.
✨Understand the Hardware
Familiarise yourself with GPUs, TPUs, and other hardware relevant to AI acceleration. Be prepared to explain how you’ve targeted these platforms in past projects and how you can leverage their capabilities to enhance model performance.
✨Showcase Your Problem-Solving Skills
During the interview, expect to face technical questions that test your problem-solving abilities. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to tackle complex issues.
✨Emphasise Team Collaboration
XTX Markets values teamwork, so be ready to share examples of how you've successfully collaborated with others in a technical environment. Highlight your experience working in diverse teams and how you respect different perspectives to achieve common goals.