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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.
- Other info: Exciting opportunity for career growth in a dynamic tech 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.
The predicted salary is between 20000 - 30000 £ per year.
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 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
✨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.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role is all about AI research, make sure you can discuss your projects and publications confidently. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your coding skills! Bring along a portfolio of your best work, especially any projects related to AI or machine learning. We love seeing practical applications of your knowledge, so make it easy for us to see what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have additional resources and tips available there to help you through the process.
We think you need these skills to ace Intern - AI Research
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!
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 hands-on experience and contributions to the AI community!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at SAIC Cambridge. We can’t wait to hear from you!
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, especially any first-author publications. Be ready to explain your contributions clearly and how they relate to the role. Highlight your experience with Python and PyTorch, as well as any relevant coding practices that ensure reproducibility.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the research environment, mentorship opportunities, and the specific challenges the labs are currently tackling. This shows your enthusiasm and helps you gauge if it's the right fit for you.
✨Practice Problem-Solving
Brush up on your algorithms and data structures knowledge, as you might face technical questions. Practising coding problems related to AI and machine learning can help you articulate your thought process during the interview, demonstrating your analytical skills.