At a Glance
- Tasks: Lead the development of innovative algorithms for training autonomous agents in AI.
- Company: Exciting AI research lab with a focus on cutting-edge reinforcement learning.
- Benefits: Competitive salary, equity options, and the chance to shape the future of AI.
- Other info: Opportunity to work alongside top-tier AI labs and grow your career.
- Why this job: Join a founding team and make a real impact in the AI landscape.
- Qualifications: Strong background in reinforcement learning and experience with Python and PyTorch.
This is one of those founding-team opportunities that you can't afford to miss. It's at a well-funded AI research lab about to blast out of stealth mode, doing some novel work at the frontier of reinforcement learning. They're moving into their next phase of growth after closing funding and are already working alongside major frontier AI labs.
As a Founding RL Researcher, you will lead efforts to build novel algorithms and environments for training autonomous agents to do long horizon tasks. You will have real influence over technical direction from day one and work directly with experienced second-time founders.
Core skills and experience required:- Strong background in reinforcement learning
- Hands-on post-training experience: RLHF, GRPO etc
- Experience designing or building RL environments grounded in real-world workflows
- Distributed training at scale
- Python and PyTorch
- Experience at a top-tier AI lab or company
- A blend of theoretical depth mixed with the ability to ship production systems
- Publications at top ML conferences, nice to have
If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms into real-world, long-horizon intelligence, this is worth a conversation.
Apply with your CV or reach out to Ben Greensmith for more details.
AI Research Engineer in England employer: Zealous Agency
Join a pioneering AI research lab as a Founding AI Research Engineer, where you'll be at the forefront of innovation in reinforcement learning. With a competitive salary and equity options, this remote role offers a unique opportunity to shape the future of AI alongside experienced founders in a collaborative and dynamic work culture. The company prioritises employee growth, providing a platform for you to influence technical direction and contribute to groundbreaking projects that push the boundaries of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, especially those who've worked at top-tier labs. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your reinforcement learning projects. Whether it's GitHub repos or blog posts, let your work speak for itself and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with RLHF and distributed training. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don't just apply anywhere; focus on companies that align with your values and interests. Use our website to find roles that excite you, and tailor your approach to each one. Quality over quantity, right?
We think you need these skills to ace AI Research Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong background in reinforcement learning and any hands-on experience you have with RLHF or GRPO. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Experience:If you've worked at a top-tier AI lab or company, let us know! Include specific examples of your work on RL environments and distributed training. This is your chance to shine, so make it count!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for this founding role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Zealous Agency
✨Know Your Reinforcement Learning Inside Out
Make sure you brush up on your reinforcement learning concepts and algorithms. Be prepared to discuss your hands-on experience with RLHF and GRPO, as well as any projects where you've designed RL environments. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Technical Skills
Since this role requires proficiency in Python and PyTorch, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Having a couple of examples ready will help you illustrate your capabilities effectively.
✨Highlight Your Experience with Distributed Training
Given the focus on distributed training at scale, be prepared to talk about your experiences in this area. Discuss any challenges you faced and how you overcame them. This will show your problem-solving skills and your ability to work on complex systems.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about their current projects and future direction. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
