At a Glance
- Tasks: Develop and train advanced AI models to push the boundaries of superintelligence.
- Company: Join a cutting-edge AI startup dedicated to responsible innovation.
- Benefits: Competitive salary, professional growth, and a dynamic multicultural team.
- Other info: Hybrid role based in Paris or London with opportunities for travel.
- Why this job: Shape the future of AI while collaborating with world-class talent.
- Qualifications: Expertise in deep learning frameworks and experience with LLMs and VLMs.
The predicted salary is between 36000 - 60000 £ per year.
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: 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
- 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.
Member of technical staff - Research - Model employer: H Company
At H, we are committed to pushing the boundaries of superintelligence with agentic AI, offering a vibrant work culture that fosters openness, collaboration, and continuous learning. Our Paris and London locations provide a dynamic environment where you can work alongside world-class AI talent, enjoy competitive salaries, and unlock numerous opportunities for professional growth and career development. Join us in shaping the future of AI and be part of a team that values your contributions and passion for innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Member of technical staff - Research - Model
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and VLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key in collaborative environments like ours.
✨Tip Number 4
Don’t forget to 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 our team.
We think you need these skills to ace Member of technical staff - Research - Model
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your expertise in deep learning frameworks and any relevant projects you've worked on, especially those involving LLMs and VLMs.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of your work in model training or reinforcement learning to really stand out.
Showcase Your Research:If you've published in top-tier AI conferences, make sure to mention this in your application. We love seeing candidates who are actively contributing to the field and staying current with advancements in AI.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!
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 where you've implemented training methods or optimised model capabilities.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your teamwork and collaboration skills. Think of specific instances where you successfully integrated models into systems or worked alongside others to achieve a common goal.
✨Communicate Clearly
Excellent communication is key! Practice explaining complex technical concepts in simple terms. You might be asked to present your findings or discuss your research, so being able to articulate your thoughts clearly will set you apart.
✨Stay Curious and Open-Minded
Demonstrate your passion for AI and problem-solving by discussing how you stay current with industry trends. Share any recent papers you've read or conferences you've attended, and express your eagerness to learn and contribute to the team's innovative environment.
