At a Glance
- Tasks: Lead the development of groundbreaking algorithms for training autonomous agents in AI.
- Company: Exciting AI research lab on the brink of major breakthroughs.
- Benefits: Competitive salary, equity options, and remote work flexibility.
- Other info: Opportunity to influence technical direction and collaborate with experienced founders.
- Why this job: Join a founding team and shape the future of reinforcement learning.
- Qualifications: Strong background in reinforcement learning and experience with Python and PyTorch.
Founding AI Research Engineer Remote (UK only) £180,000 - £280,000 base + equity DOE
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 employer: Zealous Agency
Join a pioneering AI research lab that offers an exceptional opportunity for growth and innovation as a Founding AI Research Engineer. With a competitive salary and equity options, you will be part of a dynamic team that values collaboration and creativity, working remotely from the UK. The company fosters a culture of excellence and encourages professional development, making it an ideal environment for those looking to make a significant impact in the field of reinforcement learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI research community, especially those who are already working at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that highlight your reinforcement learning expertise, make sure to showcase them. A personal website or GitHub can be a great way to demonstrate what you can do.
✨Tip Number 3
Prepare for the interview by diving deep into the latest trends in RL and the specific work the company is doing. Being able to discuss their projects and how you can contribute will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to make an impact in AI research.
We think you need these skills to ace AI Research Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in reinforcement learning and any hands-on projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Showcase Your Projects:If you've designed or built RL environments or have experience with distributed training, include those details! We love seeing real-world applications of your work, so share any relevant projects that demonstrate your expertise.
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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, especially RLHF and GRPO. Be ready to discuss your hands-on experience and how you've applied these techniques in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced while designing or building RL environments. Use examples that highlight your ability to think critically and innovate, especially in long-horizon tasks.
✨Demonstrate Your Technical Proficiency
Be ready to dive deep into your experience with Python and PyTorch. They’ll likely want to know about your distributed training at scale, so have some concrete examples of projects where you’ve implemented this.
✨Engage with the Founders' Vision
Research the company’s mission and the founders’ backgrounds. Show genuine interest in their work and be prepared to discuss how your vision aligns with theirs, especially regarding pushing the boundaries of RL.
