At a Glance
- Tasks: Lead the development of groundbreaking algorithms for training autonomous agents.
- Company: Exciting AI research lab on the verge of major breakthroughs.
- Benefits: Competitive salary, equity options, and a chance to shape the future of AI.
- Other info: Work with experienced founders in a dynamic, innovative environment.
- Why this job: Join a founding team and make a real impact in the world of reinforcement learning.
- Qualifications: Strong RL background, hands-on experience, and Python/PyTorch skills.
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 and 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 with major frontier AI labs.
As a Founding RL Researcher, you will lead efforts to build novel algorithms and environments for training autonomous agents. 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 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.
Founding RL Researcher/ Engineer employer: Zealous Agency
Join a pioneering AI research lab as a Founding RL Researcher/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 access to cutting-edge resources and the chance to influence technical direction from day one, making it an exceptional place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Founding RL Researcher/ Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and reinforcement learning community. Attend meetups, webinars, or even just slide into DMs on LinkedIn. You never know who might have the inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RL algorithms or environments. This is your chance to demonstrate your hands-on experience and theoretical depth in a way that a CV alone can't.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Be ready to discuss your past experiences with distributed training and real-world workflows. Practice coding challenges related to RL to stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you in the door!
We think you need these skills to ace Founding RL Researcher/ Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in reinforcement learning and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!
Showcase Your Projects:Include specific examples of algorithms or environments you've built. We love seeing real-world applications of your work, so if you’ve got any publications or notable projects, make them stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate a well-structured application that gets straight to the heart of your qualifications and passion for the role.
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 this exciting opportunity. We can’t wait to hear from you!
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 how you've designed or built RL environments. This is your chance to showcase your theoretical depth and practical skills!
✨Showcase Your Real-World Applications
Prepare examples of how you've applied your knowledge in real-world scenarios. Discuss any projects where you've implemented distributed training at scale or worked with Python and PyTorch. This will demonstrate your ability to ship production systems effectively.
✨Engage with the Founders' Vision
Research the company’s mission and the founders’ backgrounds. Be ready to discuss how your vision aligns with theirs and how you can contribute to their growth. Showing genuine interest in their work will set you apart from other candidates.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. Inquire about their current projects, challenges they face in RL, or their future direction. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.
