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- Tasks: Conduct cutting-edge AI research and publish findings in top-tier conferences.
- Company: Join a world-class research centre at SAIC Cambridge.
- Benefits: Gain mentorship, develop skills, and work in a hybrid environment.
- Why this job: Make an impact in AI while collaborating with leading researchers.
- Qualifications: PhD student in relevant fields with strong coding and research experience.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 500 - 1500 £ per month.
SAIC Cambridge are looking for exceptional interns to undertake a 6-month internship programme during 2026. The successful candidates will work within a world-class cross-disciplinary research centre, collaborating with researchers and engineers in basic and applied research across the centre with the aim of publishing research in top conferences, filing patents, sharing reproducible code to the broader AI community on GitHub, and contributing to commercial tech transfers. Interns will be affiliated to one of the three labs within Cambridge and will be assigned senior mentors to help develop skills and guide the generation of publications and impact.
Topics of interest include, but are not limited to the following:
- Future Interaction Lab: Vision & language, multi-modal language models, large scale model training, vision-language-action models.
- Embedded AI Lab: World models & physical AI, Efficient foundation model architectures, Speech Recognition and Generation, image/video generation models.
- Machine Learning/Data Intelligence Lab: World models for planning & reasoning, Inverse Graphics and Inverse Physics, Meta-learning, Neuro-Symbolic AI.
Key Responsibilities:
- Conduct cutting-edge research to develop state-of-the-art solutions to existing problems and/or propose novel research challenges considering real-world case studies in AI.
- Publish in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, InterSpeech, etc.
- Development of high quality code with detailed documentation to support reproducible research in local and international research communities in AI.
Essential Skills & Qualifications:
- Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing).
- Good command of computing concepts (algorithms, data structures, parallel/distributed computing, optimization, etc).
- Experience in quick prototyping using Python and PyTorch.
- At least one first-author publication in top conferences and journals such as: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, InterSpeech, EMNLP, ACL, MobiComm, etc.
Desirable Skills:
- Experience and demonstrated output on Foundation Models research involving (visual) LLMs and/or Diffusion models.
- Experience in software engineering & development in a professional environment.
- Experience with distributed GPU implementation of ML algorithms.
- Experience with on-device implementation of ML algorithms.
- Experience in one or more of SAIC-Cambridge topics of interest summarised above.
Start date: ASAP
Duration: 6 months
Hybrid Policy: 3 days on site (minimum) 2 days working from home.
Intern - AI Research in Cambridge employer: Samsung Electronics Perú
Contact Detail:
Samsung Electronics Perú Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern - AI Research in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former interns at SAIC Cambridge on LinkedIn. Ask them about their experiences and any insider tips they might have. This can give us valuable insights and help you stand out when it comes to interviews.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems related to algorithms and data structures. We want to ensure you're ready to showcase your Python and PyTorch expertise!
✨Tip Number 3
Showcase your research! If you've got publications, make sure to highlight them in your discussions. Talk about your contributions and what you learned. This will demonstrate your commitment to the field and your ability to contribute to cutting-edge research.
✨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 take the initiative to engage with us directly. Good luck!
We think you need these skills to ace Intern - AI Research in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Intern - AI Research. Highlight relevant skills, experiences, and any publications that align with the job description. We want to see how you fit into our world-class research centre!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI research and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any projects related to AI, especially those involving Python or PyTorch, make sure to mention them. Include links to your GitHub or any published papers. We’re keen to see your practical experience and contributions to the AI community!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Samsung Electronics Perú
✨Know Your Research
Before the interview, dive deep into the latest research in AI, especially in areas like vision-language models and efficient architectures. Familiarise yourself with recent publications from the labs at SAIC Cambridge to show your genuine interest and understanding of their work.
✨Showcase Your Projects
Prepare to discuss your previous projects and publications in detail. Be ready to explain your contributions, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Brush Up on Technical Skills
Since the role requires proficiency in Python and PyTorch, make sure you're comfortable discussing your coding experience. You might be asked to solve a technical problem or explain your approach to prototyping, so practice coding challenges related to AI and machine learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship programme, the labs, and the types of projects you might work on. This not only shows your enthusiasm but also helps you gauge if the position aligns with your career goals and interests in AI research.