At a Glance
- Tasks: Build and optimise LLM systems to achieve industry-leading accuracy.
- Company: Exciting VC-backed generative AI startup in London.
- Benefits: Competitive salary, hands-on experience, and a chance to shape the future of AI.
- Other info: Dynamic startup environment with opportunities for rapid career growth.
- Why this job: Join a pioneering team and tackle challenging problems with cutting-edge technology.
- Qualifications: Strong software engineering skills and experience with LLMs and reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
VC-backed generative AI startup building a platform to take LLM-powered tasks to 99%+ accuracy. Early-stage, engineering-led, everyone codes.
Role
- Build, train and optimise LLM systems capable of beating industry benchmarks.
- Deploy robust generative AI systems end-to-end in production, that constantly learn.
- Build rigorous evaluation suites.
About you
- Exceptional software engineering ability with startup experience.
- Curious and loves to solve hard problems with first-principles thinking.
Requirements
- Experience deploying LLMs into production.
- Experience with deep reinforcement learning.
- Strong ML/data science and data engineering fundamentals.
- Excellent Python skills.
Founding AI Engineer - Reinforcement Learning & LLMs employer: algo1
As a founding AI engineer at our VC-backed generative AI startup in London, you will be part of an innovative and dynamic team that values engineering excellence and creativity. We foster a collaborative work culture where every voice matters, offering ample opportunities for personal and professional growth while working on cutting-edge technology that aims to redefine industry standards. Join us to not only advance your career but also contribute to a mission-driven environment that prioritises impactful solutions and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer - Reinforcement Learning & LLMs
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, especially those who work at startups. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and reinforcement learning. This is your chance to demonstrate your exceptional software engineering ability and problem-solving skills in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML fundamentals. Practice coding challenges and be ready to discuss your thought process when solving problems. Remember, they want to see how you think as much as what you know!
✨Tip Number 4
Apply through our website! We’re always on the lookout for curious minds who love tackling hard problems. Make sure your application stands out by tailoring it to highlight your relevant experience with deploying LLMs and deep reinforcement learning.
We think you need these skills to ace Founding AI Engineer - Reinforcement Learning & LLMs
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your exceptional software engineering abilities and any relevant startup experience. We want to see how your skills align with the role, so don’t hold back!
Be Curious:We love candidates who are curious and eager to solve hard problems. Share examples of how you've approached challenges using first-principles thinking in your application.
Tailor Your Application:Customise your application to reflect the specific requirements mentioned in the job description. Mention your experience with deploying LLMs and deep reinforcement learning to show us you’re a perfect fit.
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.
How to prepare for a job interview at algo1
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning and LLMs. Be ready to discuss your past experiences deploying LLMs into production and how you've tackled challenges in that area. We want to see your passion for AI and your ability to solve complex problems.
✨Showcase Your Coding Skills
Since this role is all about coding, be prepared to demonstrate your Python skills. You might be asked to solve a coding problem or explain your thought process behind a project. We recommend practising common algorithms and data structures to ensure you're sharp and ready to impress.
✨Think Like an Engineer
This is an engineering-led startup, so we value first-principles thinking. Be ready to explain how you approach problem-solving and decision-making in your projects. Share examples of how you've built and optimised systems in the past, and don't shy away from discussing any failures and what you learned from them.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision, the team dynamics, and the challenges they face. This shows your genuine interest in the role and helps us gauge if you're the right fit for our culture. Plus, it gives you a chance to assess if this is the right place for you.
