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- Tasks: Design and operate large-scale GPU infrastructure for cutting-edge AI models.
- Company: Join a mission-driven team from top AI companies like DeepMind and OpenAI.
- Benefits: Top-tier salary, comprehensive health benefits, and generous parental leave.
- Why this job: Make a real impact in building open superintelligence with a talented team.
- Qualifications: Experience in high-performance computing and strong GPU knowledge required.
- Other info: Dynamic startup environment with excellent career growth and team bonding opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Our Mission Reflection's mission is to build open superintelligence and make it accessible to all. We're developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role Design, build, and operate Reflection's large-scale GPU infrastructure powering pre-training, post-training, and inference. Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs. Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale. Build tools and automation for distributed training, inference, monitoring, and experiment management. Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference. Push the limits of hardware, networking, and software to accelerate the path from idea to model.
About You Deep systems or infrastructure engineering experience in high-performance or distributed computing environments. Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.). Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar). Familiar with modern observability stacks and performance profiling tools. High agency and the ability to thrive in a fast-paced, high-ownership startup environment. Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated. Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.
What We Offer We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Member of Technical Staff in London employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Reflection or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions that highlight your experience with GPUs, CUDA, or distributed systems, make sure to showcase them. A personal portfolio or GitHub can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of large-scale training frameworks like PyTorch or JAX. Practice coding challenges and system design questions to demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our mission to build open superintelligence.
We think you need these skills to ace Member of Technical Staff in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Member of Technical Staff. Highlight your deep systems or infrastructure engineering experience, especially in high-performance or distributed computing environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about building open superintelligence. Share specific examples of how your background in GPUs, CUDA, and large-scale training frameworks makes you a great fit for our team.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing hands-on experience with containerization, orchestration, and cluster management, so don’t hold back!
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 shows us you’re keen to join our mission!
How to prepare for a job interview at Reflection AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like GPUs, CUDA, and the various frameworks. Brush up on your knowledge of distributed computing and be ready to discuss how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in high-performance environments. Think about how you optimised systems or improved efficiency, and be ready to share those stories. This will demonstrate your hands-on experience and ability to thrive in a fast-paced setting.
✨Understand Their Mission
Familiarise yourself with Reflection's mission to build open superintelligence. Be prepared to discuss how your skills can contribute to this goal and why you're excited about working in such an innovative space. Showing genuine interest can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions that show your understanding of the role and the company. Inquire about their current projects, team dynamics, or future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
