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- Tasks: Dive into cutting-edge AI research and collaborate on impactful projects.
- Company: Join MediaTek, a global leader in semiconductors and AI innovation.
- Benefits: Enjoy a hybrid work model, competitive pay, and professional development opportunities.
- Why this job: Shape your research path in a dynamic environment with mentorship from top scientists.
- Qualifications: PhD in relevant fields and proficiency in programming languages like Python or C++ required.
- Other info: Fixed-term residency lasting 12–24 months with a focus on open science.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- 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
- Benefit from a hybrid work model, combining remote and on-site collaboration
- Conduct innovative research in machine learning and artificial intelligence
- 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
Requirements:
- PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
- Proficiency in programming languages such as Python, C++, or similar
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
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.
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 Research Scientist (AI Ethics)
✨Tip Number 1
Familiarise yourself with the latest research in AI ethics, particularly in areas like large language models and reinforcement learning. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI research community, especially those who have experience in open science and publishing in top conferences. Attend relevant workshops or webinars to make connections that could lead to valuable insights and recommendations.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects related to AI. This demonstrates your practical experience and commitment to the field, making you a more attractive candidate for the residency.
✨Tip Number 4
Prepare to discuss your research interests and how they align with MediaTek's focus on AI applications. Be ready to articulate how your background and ideas can contribute to their ongoing projects and the broader scientific community.
We think you need these skills to ace Research Scientist (AI Ethics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI research, particularly in areas like machine learning, reinforcement learning, and large language models. Emphasise any publications or projects that align with MediaTek's focus on open science.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI ethics and research. Discuss how your background and interests align with the goals of the AI Research Residency, and mention specific projects or areas you are excited to explore.
Highlight Collaborative Experience: Since the role involves collaboration with experienced researchers and cross-functional teams, be sure to include examples of past teamwork in your application. This could be from academic projects, internships, or any relevant work experience.
Showcase Your Programming Skills: Mention your proficiency in programming languages such as Python or C++. If you have experience with optimisation methods or reinforcement learning, provide specific examples of how you've applied these skills in your research or projects.
How to prepare for a job interview at MediaTek
✨Showcase Your Research Passion
Make sure to express your enthusiasm for AI research and how it aligns with your career goals. Discuss any relevant projects or papers you've worked on, especially those that demonstrate your commitment to open science and collaboration.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with programming languages like Python or C++. Highlight specific projects where you applied optimisation methods, reinforcement learning, or worked with large language models. This will show your technical capability and readiness for the role.
✨Engage with Current Trends
Stay updated on the latest advancements in AI and related fields. During the interview, reference recent developments or publications from top conferences like NeurIPS or ICML. This demonstrates your proactive approach and genuine interest in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the AI Research Residency programme, such as mentorship opportunities or potential projects. This not only shows your interest but also helps you gauge if the environment is a good fit for your research aspirations.
