At a Glance
- Tasks: Own end-to-end projects in AI, focusing on LLMs and reinforcement learning.
- Company: Join a cutting-edge AI research company shaping the future of autonomous systems.
- Benefits: Competitive salary, equity package, and a vibrant team culture.
- Other info: Be part of a small, dynamic team with significant growth opportunities.
- Why this job: Make a real impact in AI while working with top talent in a fast-paced environment.
- Qualifications: Experience in research or startups, with a knack for problem-solving and quick learning.
The predicted salary is between 70000 - 90000 £ per year.
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.
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:
- 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.
Staff Engineer, LLMs & RL — End-to-End Projects (London) employer: Enigma
As a pioneering 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 professionals and early-career candidates 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 one of Europe's most talented AI teams.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer, LLMs & RL — End-to-End Projects (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to LLMs and RL. This gives you a chance to demonstrate your expertise and passion, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technical concepts and problem-solving techniques. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so get comfortable talking about your work!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our mission and the role, and don’t hesitate to follow up if you haven’t heard back.
We think you need these skills to ace Staff Engineer, LLMs & RL — End-to-End Projects (London)
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. Share any relevant projects or experiences that highlight your passion!
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience in areas like memory systems, reinforcement learning, or any other relevant skills. We love seeing how your background aligns with our needs, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and why you’d be a great fit for our team.
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. Plus, it shows you’re serious about joining our team at StudySmarter!
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 your previous projects and how they relate to the role. Showing that you understand the technical landscape will impress the interviewers.
✨Show Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach challenges like long-context reasoning or meta-learning. Demonstrating your thought process and problem-solving abilities can set you apart from other candidates.
✨Emphasise Adaptability
Since the company values quick learners, be ready to share examples of how you've adapted to new technologies or environments in the past. Highlighting your ability to thrive in fast-paced settings will resonate well with the interviewers.
✨Cultural Fit Matters
The company is looking for self-starters who can contribute to shaping the culture. Be prepared to discuss how you align with their vision and values. Sharing your thoughts on collaboration and ownership can help demonstrate that you're a great fit for their team.
