At a Glance
- Tasks: Join our Computer Vision team to lead innovative research on multi-modality learning and visual large language models.
- Company: Huawei, a global leader in ICT, dedicated to creating a fully connected, intelligent world.
- Benefits: Gain hands-on experience, collaborate with experts, and contribute to groundbreaking research.
- Other info: Exciting opportunity for career growth in a leading research environment.
- Why this job: Be part of a dynamic team pushing the boundaries of technology and innovation.
- Qualifications: Ph.D. student or strong undergrad/grad with first-author papers in top-tier venues.
The predicted salary is between 20000 - 30000 £ per year.
About Huawei Research and Development UK Limited
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.
Huawei Research and Development UK Limited Overview
Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich.
Job Summary
We are looking for a Research Intern to join our London Research Centre’s Computer Vision team. In particular, we seek someone with experience in (Visual) Large Language Models and/or multi-modality learning to join us.
Key Responsibilities
- Leading and participating in cutting-edge research projects focusing on multi-modality learning and visual large language models.
- Writing research papers, we like to show the world our latest findings.
This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
Person Specification
Required- Strong research track record. It is mandatory to have at least one first‑author paper in a top‑tier venue (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).
- Ph.D. student in computer vision or machine learning during the course of the entire internship (we would also recommend applying if you are a strong undergrad/grad student and have first‑author papers in the venues listed above).
- Hands on experience with (visual) large language models or diffusion models.
- Strong coding skills: Ability to quickly prototype in PyTorch (it is okay if you only have Tensorflow or JAX experience).
- Be updated with state‑of‑the‑art, and like reading lots of papers.
- Have good written and oral communication skills.
- Have experience both on Large Language Models and diffusion models, or in their combination such as Diffusion Large Language Models.
Research Intern - Computer Vision (Visuals) in London employer: Huawei Technologies Research & Development (UK) Ltd
Huawei Research and Development UK Limited is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides opportunities to engage in cutting-edge research projects in the heart of London, alongside leading experts in the field. Employees benefit from a culture that values creativity and dedication, ensuring that every team member can contribute to transformative technologies while enjoying a supportive and inclusive atmosphere.
Contact Details:
Huawei Technologies Research & Development (UK) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Intern - Computer Vision (Visuals) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Huawei or similar companies. Use LinkedIn to connect and engage with their posts; it’s a great way to get noticed.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of multi-modality learning and visual large language models. We recommend doing mock interviews with friends or using online platforms to practice your responses.
✨Tip Number 3
Showcase your research! If you’ve got papers published, be ready to discuss them in detail. Highlighting your contributions can really set you apart from other candidates.
✨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 Research Intern - Computer Vision (Visuals) in London
Some tips for your application 🫡
Show Off Your Research Skills:Make sure to highlight your research experience, especially any first-author papers you've written. We want to see your passion for computer vision and how you've contributed to the field!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match the job description. We love seeing how you connect your background to our needs.
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:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Research
Make sure you’re well-versed in your research area, especially around visual large language models and multi-modality learning. Brush up on your first-author papers and be ready to discuss your findings and methodologies in detail.
✨Showcase Your Coding Skills
Since strong coding skills are a must, prepare to demonstrate your proficiency in PyTorch. Have examples ready that showcase your ability to prototype quickly and effectively, and don’t shy away from discussing any TensorFlow or JAX experience you have.
✨Stay Updated with the Latest Trends
Huawei values innovation, so make sure you’re up-to-date with the latest research and advancements in computer vision. Be prepared to discuss recent papers you’ve read and how they relate to your work or the role you’re applying for.
✨Communicate Clearly
Good communication skills are essential. Practice explaining complex concepts in simple terms, as you may need to present your ideas to a diverse audience. Be confident in your oral and written communication, as this will reflect your ability to contribute to research papers.
