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For Companies At a Glance
- Tasks: Conduct innovative AI research and develop algorithms in a collaborative environment.
- Company: Join MediaTek, a global leader in semiconductor technology with a focus on 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 that advance science and technology.
- Qualifications: PhD in relevant fields and proficiency in programming languages like Python or C++ required.
- Other info: Engage with top universities and contribute to open-source projects during a 12-24 month residency.
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
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
Network with professionals in the AI research community. Attend conferences, workshops, or meetups related to AI and machine learning where you can connect with researchers from MediaTek and other companies. Building these relationships can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with MediaTek's recent publications and projects. Understanding their focus areas, especially in large language models and reinforcement learning, will help you tailor your discussions during interviews and demonstrate your genuine interest in their work.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail. Be ready to explain your methodologies, findings, and how they relate to the responsibilities of the AI Research Residency. This will showcase your problem-solving skills and ability to contribute to innovative projects.
✨Tip Number 4
Highlight your programming skills and familiarity with deep learning frameworks. Since proficiency in Python, C++, and tools like TensorFlow or PyTorch is crucial, be prepared to discuss specific projects where you've applied these skills effectively.
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 and machine learning. Include any research projects, publications, or programming skills that align with the responsibilities of the AI Research Residency.
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 fits the role.
Highlight Your Research Experience: In your application, emphasise any previous research experience, particularly in machine learning or artificial intelligence. Discuss your contributions to projects, publications, and any collaborations with academic institutions.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your ideas are clearly articulated and that your enthusiasm for the position shines through.
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 face technical questions related to machine learning, algorithms, and programming languages like Python or C++. Brush up on key concepts and be ready to solve problems on the spot. Practising coding challenges can also help you feel more confident.
✨Highlight Collaborative Experiences
Since the role involves working with cross-functional teams, share examples of past collaborations. Discuss how you contributed to team projects, resolved conflicts, and integrated diverse perspectives into your research. This will show your ability to work well with others.
✨Discuss Your Publication Experience
If you have a strong publication record, be sure to mention it. Talk about the research process, the challenges you faced, and how you overcame them. If you haven't published yet, discuss your plans for future publications and how you intend to contribute to the scientific community.
