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
Join a pioneering AI research and product company in London, where you will be part of a dynamic team dedicated to shaping the future of autonomous AI systems. We offer a collaborative work culture that values innovation and autonomy, providing significant opportunities for personal and professional growth. With competitive compensation and the chance to influence both technical direction and company culture, this is an exceptional opportunity for ambitious individuals eager to make a meaningful impact in the field of AI.
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! Get out there and connect with people in the AI field. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to large language models or reinforcement learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you think, not just the final answer!
✨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 experience aligns with our mission and the role. Let's build the future of AI together!
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. Share any relevant projects or experiences that fuel your passion!
Tailor Your CV:Make sure your CV is tailored to highlight the skills and experiences that align with the job description. We’re looking for self-starters who can take ownership, so emphasise any projects where you’ve led initiatives or made a significant impact.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications. Avoid jargon unless it’s relevant, and make sure your key achievements stand out!
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 proactive and keen to join our team!
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 retrieval systems. Demonstrating your thought process will highlight your ability to think from first principles.
✨Emphasise Adaptability
Since the company values quick learners and generalists, be ready to share examples of how you've adapted to new challenges in fast-paced environments. Discuss times when you took ownership of a project and how you navigated through ambiguity to achieve results.
✨Cultural Fit Matters
The company is looking for self-starters who thrive in a flat structure. Be prepared to talk about how you contribute to team culture and collaboration. Share experiences where you’ve fostered a positive environment or taken initiative to help your colleagues succeed.
