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- Tasks: Research and develop cutting-edge AI models for real-world applications.
- Company: Well-funded frontier AI startup with a focus on innovation.
- Benefits: Competitive salary up to £250k plus equity package.
- Why this job: Join a dynamic team shaping the future of AI technology.
- Qualifications: Strong research background in LLMs and reinforcement learning required.
- Other info: Fast-paced environment with opportunities for impactful contributions.
This is a well-funded frontier AI startup building state-of-the-art agentic systems that automate complex, multi-step tasks normally done by humans. The team combines deep research (in computer use and proprietary models) with forward-deployed implementation alongside enterprise clients.
The Models team builds the core LLMs and vision-language models behind these agentic systems. The focus is on training models that work well for agents in practice: strong instruction following, reliable tool use, and good decision-making at a given inference cost.
What you'll do:
- Research post-training methods for large multimodal language models, with a focus on RL and feedback-driven learning
- Design reward models and large-scale reinforcement learning setups for instruction following and tool use
- Build automated data collection pipelines using human and machine feedback
- Develop evaluations that capture real capability gains (not just benchmark improvements)
- Translate concrete product failures and use cases into new training signals
What you'll need:
- Strong research background combined with hands-on experience with LLM post-training, alignment, or reinforcement learning
- Proficiency in Python and at least one major DL framework (PyTorch, JAX, or TensorFlow)
- Experience training large models on distributed systems
- Publications at top-tier conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.)
- Comfortable working in fast-moving, loosely specified research problems
Shortlisted candidates will be contacted within 48 hours.
Research Scientist in City of London employer: Axiōma Search
Contact Detail:
Axiōma Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and research community on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and reinforcement learning. We want to see your hands-on experience, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to AI and reinforcement learning. The more prepared you are, the more confident you'll feel!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Research Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research background and hands-on experience with LLM post-training and reinforcement learning. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about frontier AI and how your experience fits into our mission. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Publications: If you've got publications at top-tier conferences, make sure to include them! This is a great way for us to gauge your expertise and contributions to the field. Highlight any work that relates to large multimodal language models or reinforcement learning.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Axiōma Search
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant publications. Be ready to discuss your contributions in detail, especially how they relate to LLM post-training and reinforcement learning. This will show your depth of knowledge and passion for the field.
✨Demonstrate Technical Proficiency
Brush up on your Python skills and be prepared to talk about your experience with major deep learning frameworks like PyTorch or TensorFlow. You might even be asked to solve a coding problem on the spot, so practice some common algorithms and data structures beforehand.
✨Prepare for Real-World Applications
Think about how your research can translate into practical applications, especially in automating complex tasks. Be ready to discuss specific use cases and how you would approach designing reward models or data collection pipelines based on real-world feedback.
✨Stay Agile and Open-Minded
Given the fast-paced nature of the startup environment, demonstrate your ability to adapt to loosely defined problems. Share examples from your past where you successfully navigated ambiguity and how you approached problem-solving in those situations.
