At a Glance
- Tasks: Develop and train advanced AI models, optimising capabilities for real-world applications.
- Company: Join a pioneering AI startup dedicated to responsible superintelligence.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic, multicultural environment with a focus on continuous learning.
- Why this job: Shape the future of AI with cutting-edge technology and a collaborative team.
- Qualifications: Expertise in deep learning and experience with large-scale model training.
The predicted salary is between 80000 - 100000 € 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 optimise 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 modelling. 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 optimise 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:
- 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
- Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
- 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: 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 Paris and London offices at a reasonable cadence (e.g., every 4-6 weeks).
What we offer:
- Enjoy a competitive salary
- 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
- 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, Models) - London employer: H Company
At H, we are committed to pushing the boundaries of superintelligence with agentic AI, making us an exceptional employer for those passionate about advancing AI technology. Our London-based team thrives in a dynamic and collaborative environment, offering competitive salaries, opportunities for professional growth, and the chance to work alongside world-class talent. With a focus on openness and continuous learning, we empower our employees to contribute meaningfully to the future of AI while enjoying a vibrant work culture that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Member of technical staff (Research, Models) - London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at H or similar companies. Use platforms like LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and VLMs. This could be anything from research papers to personal projects. When you get the chance to chat with recruiters, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning frameworks like PyTorch and TensorFlow. Practice coding challenges and be ready to discuss your past experiences with model training and reinforcement learning. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission to push the boundaries of AI. Let’s shape the future together!
We think you need these skills to ace Member of technical staff (Research, Models) - London
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 training models or collaborating on AI projects.
Showcase Your Research:If you've published in top-tier AI conferences, make sure to mention this! We love seeing candidates who are actively contributing to the field, so include links to your publications or notable projects.
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 shows us you’re keen to join our journey!
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 mission of advancing agentic AI.
