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: Remote role with significant growth potential and influence from day one.
- Why this job: Join a founding team and make a real impact in the world of reinforcement learning.
- Qualifications: Strong RL background, Python and PyTorch skills, and experience in top-tier AI labs.
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 in England employer: Zealous Agency
Join a pioneering AI research lab as a Founding RL Researcher/Engineer, where you will 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 while collaborating with seasoned founders and leading experts in the field. The company fosters a dynamic work culture that prioritises employee growth, encouraging you to push the boundaries of technology in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding RL Researcher/ Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and reinforcement learning community. Attend meetups, webinars, or even online forums. You never know who might have a lead on that perfect role!
✨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.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out directly to the hiring manager or team members. A personal touch can make all the difference and show your genuine interest.
✨Tip Number 4
Keep it real! Be prepared to discuss your past experiences and how they relate to the job. Think about challenges you've faced in RL projects and how you overcame them. Authenticity goes a long way!
We think you need these skills to ace Founding RL Researcher/ Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in reinforcement learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!
Showcase Your Impact:When detailing your past roles, focus on the impact you made. Did you design a novel algorithm or improve an RL environment? We love seeing quantifiable results, so include metrics where possible to demonstrate your contributions.
Be Authentic:Let your personality shine through in your application. We’re looking for passionate individuals who are excited about pushing the boundaries of RL. Share your motivations and what drives you in this field – it helps us get to know you better!
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 at StudySmarter!
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
Since the role involves building RL environments grounded in real-world workflows, think of specific examples where you've applied your knowledge. Prepare to explain how your work has impacted real-world scenarios, especially in distributed training at scale.
✨Demonstrate Your Technical Skills
Be ready to dive into technical discussions about Python and PyTorch. You might be asked to solve problems on the spot, so practice coding challenges related to RL. Highlight any production systems you've shipped and how they relate to the role.
✨Engage with the Founders' Vision
This is a founding-team opportunity, so show genuine interest in the company's mission and future direction. Prepare thoughtful questions about their vision for the AI research lab and how you can contribute to pushing the boundaries of RL. This will demonstrate your enthusiasm and alignment with their goals.
