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- Tasks: Conduct groundbreaking research in AI and contribute to innovative model development.
- Company: Join a pioneering AI startup shaping the future of autonomous technology.
- Benefits: Collaborative environment, professional growth, and access to cutting-edge resources.
- Other info: Exciting opportunities for learning and career development in a multicultural setting.
- Why this job: Be part of a dynamic team driving real-world AI solutions and advancements.
- Qualifications: PhD in relevant fields with strong research experience and publications.
The predicted salary is between 500 - 1500 £ per month.
PhD - Graduation/Final year Internships available in our Research lab.
What we’re looking for:
- PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field.
- Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL).
- Strong research and/or research engineering experience at leading ML research labs.
About H:
H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About our Team:
Our 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.
Research areas include:
- Post-training & reinforcement learning, off-policy robustness
- Self-verification and learning from feedback
- Synthetic data generation at scale
- Efficient reasoning
- World modelling & Env generation
Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio.
Location: London
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.
- Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
Research Scientist Intern (PhD) - Model Team - London employer: H Company
Contact Detail:
H Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist Intern (PhD) - Model Team - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at H Company or similar organisations. Attend conferences and workshops where you can meet potential colleagues and mentors. Remember, it’s all about who you know!
✨Tip Number 2
Show off your research! Prepare a portfolio that highlights your published work and any projects relevant to the role. This will give you an edge during interviews and show that you’re not just talk but have the skills to back it up.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions in the AI and ML space. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently when it’s your turn to shine.
✨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 at H Company. Let’s make it happen!
We think you need these skills to ace Research Scientist Intern (PhD) - Model Team - London
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research experience and any publications in top-tier conferences. We want to see how your work aligns with our cutting-edge projects, so don’t hold back!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Mention specific projects or techniques that resonate with our Models team’s focus on LLMs and VLMs. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at H Company
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially any publications you've contributed to. Be prepared to explain your methodologies and findings clearly, as well as how they relate to the work being done at H Company.
✨Familiarise Yourself with Their Work
Dive into the projects and research areas that the Models team is focusing on. Understanding their approach to training techniques and model capabilities will help you align your answers with their goals during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning, reinforcement learning, and model optimisation. Brush up on key concepts and be ready to solve problems on the spot, showcasing your analytical skills and thought process.
✨Show Your Passion for AI
Let your enthusiasm for AI and its future shine through. Share your thoughts on current trends in AI and how you envision contributing to the field. This will demonstrate your motivation and fit within the dynamic culture at H Company.