At a Glance
- Tasks: Develop and train advanced AI models to push the boundaries of superintelligence.
- Company: Join a cutting-edge AI startup focused on agentic technology.
- 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 world-class talent.
- Qualifications: Strong programming skills and expertise 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.
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.
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
Qualifications
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
Research skills:
- 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)
Soft skills:
- 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
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
H Company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the fast-paced AI sector. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to work alongside talented professionals in either Paris or London, all while enjoying the flexibility of a hybrid work model. Join us to be part of a mission-driven team that values your contributions and supports your professional development.
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 working with LLMs and VLMs. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to deep learning and AI. Whether it’s GitHub repos or blog posts explaining your work, having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like ours. Mock interviews can help you feel more confident!
✨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, we love seeing candidates who are genuinely interested in joining our mission to push the boundaries of 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 is tailored to the role of Research Engineer / Scientist. Highlight your programming skills, experience with LLMs and VLMs, and any relevant publications. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and problem-solving, and explain why you’re excited about joining our team. Let us know how you can contribute to pushing the boundaries of superintelligence.
Showcase Your Projects:If you've worked on any projects related to deep learning or AI, make sure to include them in your application. We love seeing hands-on experience, especially with LLM training and reinforcement learning. It gives us a glimpse of what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 experience with these technologies, especially any hands-on work you've done with training or optimising them.
✨Showcase Your Research
If you've published in top-tier AI conferences, be prepared to talk about your research. Highlight how your findings can contribute to the team’s goals, especially in areas like instruction following and reinforcement learning.
✨Demonstrate Collaboration Skills
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated on projects. Emphasise your communication skills and how you’ve contributed to a team environment.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and using frameworks like PyTorch or TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your expertise and confidence.
