Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and train advanced AI models, optimising capabilities for real-world applications.
- Company: Join a pioneering AI startup focused on superintelligence and responsible innovation.
- Benefits: Competitive salary, professional growth, and a dynamic multicultural team.
- Other info: Hybrid role with opportunities for travel and continuous learning.
- Why this job: Shape the future of AI while collaborating with top talent in a vibrant environment.
- Qualifications: Strong programming skills and experience in deep learning frameworks required.
The predicted salary is between 60000 - 80000 £ per year.
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.
Key Responsibilities:
- Develop and train advanced LLMs and VLMs, including multimodal architectures
- Research and implement training methods for enhanced capabilities like instruction following and tool use
- Design and optimize data pipelines and training systems for large-scale distributed training
- Collaborate with cross-functional teams to integrate models into agentic AI systems
- Evaluate model performance and communicate findings to stakeholders
- Stay current with advancements in LLMs, VLMs, and related fields
Requirements:
- Technical skills:
- Strong programming skills (Python, Git)
- Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
- Experience with large-scale distributed training of LLMs and VLMs
- Hands-on experience with LLM training, alignment, and reinforcement learning
- Knowledge of multimodal architectures and applications
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
- Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
- Excellent communication and presentation skills
- Strong collaboration and teamwork skills
- Passion for AI and problem-solving
Bonuses:
- Industry experience
- Experience in LLM training with RL
- Experience with data processing techniques
Location: Paris or London. This role is hybrid, and you are expected to be in the office 3 days a week on average. Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
What We Offer:
- Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
- Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
- Enjoy a competitive salary
- Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.
Research Engineer / Scientist, Post-training - London employer: H Company
Contact Detail:
H Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer / Scientist, Post-training - London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at H. Attend meetups, webinars, or conferences where you can connect with potential colleagues. A personal touch can make all the difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with LLMs and VLMs. When you get the chance to chat with someone from the team, share your work and how it aligns with their goals.
✨Tip Number 3
Be ready for technical chats! Brush up on your programming skills and deep learning frameworks. You might get asked to solve problems on the spot, so practice coding challenges related to AI and machine learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team and shaping the future of superintelligent AI.
We think you need these skills to ace Research Engineer / Scientist, Post-training - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Research Engineer/Scientist. Highlight your programming skills, deep learning expertise, and any relevant publications to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and problem-solving. Share why you want to join our team and how your background makes you a perfect fit for pushing the boundaries of superintelligence.
Showcase Your Projects: If you've worked on any projects related to LLMs or VLMs, don’t hold back! Include links or descriptions of your work to demonstrate your hands-on experience and understanding of the field.
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 this exciting opportunity in shaping the future of AI!
How to prepare for a job interview at H Company
✨Know Your Models
Make sure you brush up on the latest advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs). Be ready to discuss your hands-on experience with these technologies, especially any projects you've worked on that involved training or optimising models.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success, as this will resonate well with their emphasis on teamwork.
✨Prepare for Technical Questions
Expect technical questions related to deep learning frameworks like PyTorch, JAX, and TensorFlow. Brush up on your programming skills in Python and Git, and be ready to solve problems on the spot to demonstrate your expertise.
✨Stay Current and Curious
Show your passion for AI by discussing recent papers or breakthroughs in the field. Being able to talk about your favourite research from top-tier conferences like NeurIPS or ICML will not only impress them but also show that you're committed to continuous learning.