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For Companies At a Glance
- Tasks: Conduct innovative AI research and develop algorithms in a collaborative environment.
- Company: MediaTek is a global leader in semiconductors, driving advancements in AI research.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Shape your research direction while working on impactful projects with top researchers.
- Qualifications: PhD in relevant fields and proficiency in programming languages like Python or C++ required.
- Other info: Engage in collaborations with leading universities and contribute to open-source projects.
The predicted salary is between 36000 - 60000 £ per year.
About Us
MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL.
About the AI Research Residency
The AI Research Residency at MediaTek Research is a fixed-term program designed for recent graduates and early-career researchers. This immersive experience offers the opportunity to engage in cutting-edge AI research under the mentorship of experienced scientists and engineers. Residents work on impactful projects that bridge theoretical advances with practical applications.
The program is ideal for individuals who are excited to shape their own research directions, thrive in an intellectually dynamic environment, and view research not just as a career step, but as a creative and deeply engaging pursuit.
Program Highlights
- Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects
- Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models
- Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development
- Academic Collaboration: Collaborate with leading universities and contribute to the broader scientific community
- Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration
Responsibilities
- Conduct innovative research in machine learning and artificial intelligence
- Develop and implement algorithms
- Collaborate with cross-functional teams to integrate AI solutions
- Publish research findings in top-tier conferences and journals
- Stay up to date with the latest advancements in AI and related fields
Qualifications
Required:
- PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
- Proficiency in programming languages such as Python, C++, or similar
- Strong problem-solving skills and the ability to work both independently and collaboratively
- Excellent communication skills, with the ability to present complex ideas clearly
Preferred:
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL)
Why Join Us
- Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions and scientific advancement
- Collaborate with a team of world-class researchers and engineers
- Contribute to open-source projects and the scientific community
- Engage in collaborations with top universities and academic researchers
- Access opportunities for professional growth and development in a culture that values initiative and intellectual curiosity
Location: London/Cambridge
Duration: 12–24 months (Fixed Term Contract)
Competitive compensation package available
AI Research Residency (City of London) employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Residency (City of London)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in areas like large language models and reinforcement learning. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI research community by attending conferences or webinars related to NeurIPS, ICML, or ICLR. Networking with professionals in these settings can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects or developing your own AI-related applications. This practical experience can set you apart from other candidates and highlight your hands-on abilities.
✨Tip Number 4
Prepare to discuss your previous research and how it aligns with MediaTek's focus on both fundamental and applied AI research. Being able to articulate your vision for future projects can make a strong impression during interviews.
We think you need these skills to ace AI Research Residency (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and any programming languages mentioned in the job description. Emphasise your academic achievements, especially if you have publications in top conferences.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your desire to contribute to MediaTek's projects. Mention specific areas of interest, such as large language models or reinforcement learning, and how your background aligns with their research focus.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully worked in a team setting, particularly in research or technical projects.
Showcase Communication Skills: Given the importance of presenting complex ideas clearly, include examples of presentations or papers you've delivered. This could be at conferences, seminars, or even within academic settings, demonstrating your ability to communicate effectively.
How to prepare for a job interview at MediaTek
✨Showcase Your Research Passion
Make sure to express your enthusiasm for AI research during the interview. Discuss specific projects or papers that have inspired you, and how they relate to the work at MediaTek. This will demonstrate your genuine interest in the field and the role.
✨Prepare for Technical Questions
Expect to be asked about your technical skills, especially in machine learning and programming languages like Python or C++. Brush up on key concepts, algorithms, and frameworks relevant to the position, such as reinforcement learning and large language models.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of past collaborative projects. Emphasise your ability to communicate complex ideas clearly and how you’ve successfully worked with others to achieve research goals.
✨Discuss Your Publication Record
If you have published research, be prepared to discuss it in detail. Highlight the significance of your findings and how they contribute to the broader scientific community. This will show your commitment to open science and your readiness to publish at top-tier conferences.
