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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 leading semiconductor company with a focus on cutting-edge 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 the 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
AI Research Residency employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Residency
✨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, and ACL. 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 projects. This practical experience can set you apart from other candidates and highlight your problem-solving abilities.
✨Tip Number 4
Prepare to discuss your previous research and publications in detail. Be ready to explain your thought process and how your work aligns with MediaTek's focus on impactful AI research, as this will demonstrate your fit for the residency.
We think you need these skills to ace AI Research Residency
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 collaborations 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 Publications: If you have published research in top-tier conferences, make sure to include this information prominently in your application. Discuss the impact of your work and how it relates to the ongoing research at MediaTek.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and AI during the interview process. Brush up on key concepts, algorithms, and frameworks like TensorFlow or PyTorch to demonstrate your expertise.
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 Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve research goals or overcome challenges.
✨Discuss Your Publication Experience
If you have a strong publication record, make sure to highlight it. Talk about the research process, the challenges you faced, and the impact of your findings. This will show your ability to contribute to the academic community and align with MediaTek's commitment to open science.
