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For Companies At a Glance
- 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.
Compensation: Up to £250k + equity package.
About
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 employer: Axiōma Search
Contact Detail:
Axiōma Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or conferences, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially their work on LLMs and reinforcement learning. We want you to be able to discuss how your skills can contribute to their mission, so practice articulating your experience clearly.
✨Tip Number 3
Showcase your work! If you’ve got publications or projects that highlight your expertise in AI and machine learning, make sure to have them ready to share. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into cutting-edge research with us.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research background and hands-on experience with LLM post-training. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your experience fits into our mission. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any major deep learning frameworks you’ve worked with. We’re looking for candidates who can hit the ground running, so highlight any relevant projects or experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Axiōma Search
✨Know Your Research Inside Out
Make sure you can discuss your previous research in detail, especially any work related to LLM post-training and reinforcement learning. Be prepared to explain your methodologies, findings, and how they relate to the role you're applying for.
✨Showcase Your Technical Skills
Brush up on your Python skills and be ready to demonstrate your proficiency with major deep learning frameworks like PyTorch or TensorFlow. You might be asked to solve a coding problem or discuss your experience with distributed systems during the interview.
✨Prepare for Real-World Applications
Think about how your research can translate into practical applications. Be ready to discuss specific product failures you've encountered and how you would approach creating new training signals to address them.
✨Stay Current with Industry Trends
Familiarise yourself with the latest developments in AI and multimodal language models. Being able to discuss recent publications or breakthroughs will show your passion for the field and your commitment to staying informed.
