At a Glance
- Tasks: Own and drive innovative AI projects in a fast-paced environment.
- Company: Join a cutting-edge AI research company shaping the future of autonomous systems.
- Benefits: Competitive salary, equity package, and opportunities for personal growth.
- Other info: Collaborative culture with significant autonomy and career development opportunities.
- Why this job: Be part of a talented team pushing the boundaries of AI technology.
- Qualifications: Experience in high-growth environments and a passion for solving complex problems.
The predicted salary is between 60000 - 80000 € per year.
Company Overview
We are a frontier AI research and product company building the next generation of autonomous and interpretable AI systems. Founded by an experienced team of researchers and operators from leading AI organisations, we are rapidly scaling our research, engineering, and product efforts. Our goal is to build one of the highest-performing and most talent-dense AI teams in Europe. Based in London, we are looking for ambitious and highly capable individuals who share our vision of a future where humans interact continuously, safely, and productively with autonomous AI agents. We value self-starters who can take ownership, move quickly, and thrive in a fast-paced, high-growth environment.
The Role
Members of Technical Staff operate as high-agency generalists. You will be expected to own projects end-to-end while also contributing across multiple initiatives as needed. Because we work at the frontier of several technical domains, the ability to learn quickly and adapt on the job is essential. We are currently a small but rapidly growing team. Early hires will play a key role in shaping both the technical direction and company culture. We are hiring across a range of seniority levels, from experienced technical experts to highly driven early-career candidates. The organisation operates with a flat structure and provides significant autonomy and ownership.
What You Might Work On
We are hiring both deep technical specialists and exceptionally fast-learning generalists. Areas of work may include:
- Memory, Retrieval, and Long-Context Reasoning
- Agentic Systems, Reinforcement Learning, and Self-Improvement
- World Models, Simulators, and Optimisation Loops
- Infrastructure, Training, and Observability
About You
You have experience at a leading research lab, high-growth startup, or similarly ambitious and fast-paced environment. You move quickly and have a track record of producing outsized results in short periods of time. You think from first principles about what the company needs, not just the task immediately in front of you. You are ambitious, competitive, and motivated by solving difficult problems. You are a self-starter who operates effectively with limited supervision or incomplete specifications.
Practicalities
Location: London-based, with a strong preference for in-person collaboration and culture-building. Compensation: Competitive salary and equity package.
Member of Technical Staff | Large Language Models | Reinforcement Learning | Post-Training | Pre-Training | Long-Context Reasoning | London, Full-Time employer: Enigma
As a leading AI research and product company based in London, we offer an exceptional work environment that fosters innovation and collaboration. Our flat organisational structure empowers employees with significant autonomy and ownership over their projects, while our commitment to employee growth ensures that both seasoned experts and early-career professionals can thrive and shape the future of AI together. With competitive compensation and a culture that values ambition and adaptability, we are dedicated to building a team that is not only talented but also passionate about creating impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff | Large Language Models | Reinforcement Learning | Post-Training | Pre-Training | Long-Context Reasoning | London, Full-Time
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common technical questions and scenarios related to large language models and reinforcement learning. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let us see your work. Highlight any relevant experience with memory systems, retrieval, or agentic systems to make your application stand out.
✨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 about joining our team.
We think you need these skills to ace Member of Technical Staff | Large Language Models | Reinforcement Learning | Post-Training | Pre-Training | Long-Context Reasoning | London, Full-Time
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and the role shine through. We want to see that you’re genuinely excited about working with large language models and reinforcement learning!
Tailor Your CV:Make sure your CV is tailored to highlight relevant experience and skills that align with the job description. We love seeing how your background fits into our vision of building autonomous AI systems.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise in technical areas.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Enigma
✨Know Your Stuff
Make sure you brush up on the latest advancements in large language models and reinforcement learning. Be ready to discuss specific projects you've worked on, especially those that relate to memory, retrieval, and long-context reasoning. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach complex problems like offline-to-online reinforcement learning or developing learned simulators. Demonstrating your thought process will highlight your ability to think from first principles and adapt quickly.
✨Emphasise Your Autonomy
Since the company values self-starters, be ready to share examples of when you've taken ownership of a project. Discuss how you managed your time and resources effectively, especially in fast-paced environments. This will show that you can thrive with limited supervision.
✨Cultural Fit Matters
Research the company's culture and values. Be prepared to discuss how you align with their vision of autonomous AI systems and your thoughts on collaboration in a flat structure. Showing that you understand and resonate with their culture can set you apart from other candidates.
