At a Glance
- Tasks: Build environments for continual multi-agent learning and run experiments to improve AI systems.
- Company: FractalBrain, a pioneering company in human-inspired robotics and adaptive intelligence.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Dynamic team environment focused on cutting-edge research and development.
- Why this job: Join us to shape the future of AI and robotics with innovative, real-world applications.
- Qualifications: Experience in reinforcement learning, multi-agent systems, and coding that others rely on.
The predicted salary is between 59400 - 72600 £ per year.
Who we are
Fractal Brain is building the intelligence layer for a world of continually adapting machines.
Our thesis is that human-inspired robotics will drive near-term adoption, while embodied multi-agent systems and adaptive, custom-fit robots will increasingly dominate industry and research needs.
The enduring opportunity is intelligence that grows across bodies and coordinated teams, accumulating skills through experience.
What we're building
Today's AI is trained once and then frozen.
Everything it knows is fixed before it meets the world, and teaching it something new risks breaking what it already knows.
Brains don't work that way.
They keep learning for a lifetime, grow new connections when they need them, and look at the world selectively instead of processing every pixel at full resolution.
What you'll work on.
You'll build environments and benchmarks for continual multi-agent learning.
These are open-ended worlds where goals shift and other agents adapt over time.
You'll run experiments in them, find where our agents fail, and work with the core team to fix it.
Some of this is research.
A lot of it is systems engineering, because our models are large sparse graphs rather than tensors, and making them fast is an open problem.
Who you are.
You've worked on reinforcement learning, multi-agent systems or continual learning, and you've shipped code other people relied on.
You read papers critically and can tell when a benchmark measures less than it claims.
You enjoy open-ended problems and fast iteration, and you don't need an existing framework to get started.
Multi-agent systems engineer employer: ELLIS
ELLIS provides a unique opportunity for professionals to work alongside top-tier researchers and engineers in quantitative finance. The company's commitment to fostering a culture of curiosity and innovation makes it an attractive employer for those looking to advance their careers in data science and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Multi-agent systems engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ELLIS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ELLIS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ELLIS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ELLIS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Multi-agent systems engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ELLIS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ELLIS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ELLIS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ELLIS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
