At a Glance
- Tasks: Join the Device Vision Team to tackle exciting computer vision challenges and innovate smart device solutions.
- Company: Huawei UKRD, a leader in tech innovation with a collaborative spirit.
- Benefits: Enjoy 33 days of annual leave, mentorship, and a supportive work environment.
- Other info: Dynamic role with opportunities for growth and industry engagement.
- Why this job: Make a real impact in AI research and publish at top-tier conferences.
- Qualifications: PhD in Computer Vision or related field, with hands-on VLM experience.
The predicted salary is between 20000 - 30000 £ per year.
The Device Vision Team at Huawei UKRD in London is looking for Research Interns with experience in VLMs. The team is committed to solving challenging computer vision problems and developing efficient, ultra‑low‑power solutions that enable the next generation of smart devices to function as a universal AI assistant. The research intern will conduct academic research with us for a minimum of six months. They will aim to advance the state‑of‑the‑art in VLMs with top‑tier conference publications and will collaboratively work with other team members on related research and applications in the company.
Key Responsibilities
- Leading and participating in cutting‑edge research projects, focusing on VLMs.
- Devising, prototyping and patenting innovative solutions in collaboration with product teams.
- Build benchmarks/baselines using public datasets.
- Publish research papers at top‑tier CV/ML/AI conferences and/or journals.
- External engagement: drafting academic publications and patents.
Person Specification
Required
- PhD in Computer Vision or related field (Machine Learning, Computer Graphics)
- Hands‑on experience with VLMs
- First‑author papers published in top‑tier conferences including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, Siggraph (Asia), etc.
- Strong coding skills: able to quickly prototype in Python
- Excellent communication and writing skills
Desired
- Passionate about building a universal AI assistant
- Experience working in the industry and collaborating with product teams
- Experience with PyTorch profiler, Gradio, etc.
- Ninja Programmer; Ninja Executions
What we offer
- Assignment with an industry expert as Mentor
- Fixed‑term employment contract up to two years
- 33 days annual leave entitlement per year (including UK public holidays)
- Group Personal Pension
- Employee Assistance Programme
- Life insurance
- Corporate social events
Research Intern - Computer Vision in London employer: Huawei Technologies Research & Development (UK) Ltd
Huawei UKRD in London is an exceptional employer for those passionate about advancing computer vision technology. With a strong focus on innovation, employees benefit from mentorship by industry experts, generous annual leave, and opportunities for professional growth through academic publications and collaborative projects. The vibrant work culture fosters creativity and teamwork, making it an ideal environment for aspiring researchers to thrive.
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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Huawei or similar companies. Attend meetups, webinars, and conferences related to computer vision and VLMs to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving VLMs. Share your code on GitHub and write about your research on platforms like Medium to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the latest trends in computer vision. Practice common interview questions and be ready to discuss your research and how it relates to the role at Huawei.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Research Intern - Computer Vision in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with VLMs and any relevant research projects. We want to see how your skills align with our mission to advance computer vision!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about building a universal AI assistant. Share your journey in the field of computer vision and how you can contribute to our team.
Showcase Your Publications:If you've got first-author papers published in top-tier conferences, make them stand out! We love seeing your academic achievements, so don’t hold back on showcasing your work.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your VLMs Inside Out
Make sure you brush up on your knowledge of Vision Language Models (VLMs) before the interview. Be prepared to discuss your hands-on experience and any projects you've worked on that relate to VLMs. This will show your passion and expertise in the field.
✨Showcase Your Research Publications
Since the role involves publishing research papers, bring copies or links to your first-author papers from top-tier conferences. Be ready to discuss the impact of your work and how it relates to the challenges faced by the Device Vision Team.
✨Demonstrate Your Coding Skills
Expect to be asked about your coding abilities, especially in Python. Prepare to talk about specific projects where you quickly prototyped solutions. If possible, have a small coding challenge ready to showcase your skills during the interview.
✨Communicate Clearly and Confidently
Excellent communication is key for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with product teams. Being able to articulate your ideas clearly will set you apart from other candidates.
