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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 and competitive compensation with professional growth opportunities.
- Why this job: Shape your research direction in a dynamic environment while contributing to open science.
- 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 mentorship from experienced scientists.
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.
Research Scientist - Machine Learning / AI employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist - Machine Learning / AI
✨Tip Number 1
Familiarise yourself with the latest research in AI and machine learning, especially in areas like large language models and reinforcement learning. This will not only help you understand the current trends but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field by attending conferences or webinars related to NeurIPS, ICML, or ICLR. Building connections can provide insights into the industry and may even lead to referrals for the residency programme.
✨Tip Number 3
Showcase your passion for open science and collaboration by contributing to open-source projects. This demonstrates your commitment to the scientific community and can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous research experiences and how they relate to practical applications in AI. Being able to articulate your work and its impact will highlight your suitability for the role and your potential contributions to MediaTek Research.
We think you need these skills to ace Research Scientist - Machine Learning / AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI, and any specific projects related to large language models or reinforcement learning. Use keywords from the job description to align your skills with what MediaTek is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your understanding of MediaTek's commitment to open science. Mention specific projects or experiences that demonstrate your ability to contribute to their research goals.
Showcase Your Research Experience: If you have published papers or contributed to significant projects, make sure to include these in your application. Highlight any collaborations with universities or contributions to open-source projects, as this aligns with MediaTek's values.
Prepare for Technical Questions: Be ready to discuss your technical skills and knowledge in programming languages like Python or C++. Prepare to explain your experience with optimization methods and deep learning techniques, as these will likely be focal points during the interview process.
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 ability to bridge theory and practical applications.
✨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 skills are up to par with the role.
✨Engage with the Interviewers
During the interview, ask insightful questions about MediaTek's research focus and ongoing projects. This not only shows your interest but also helps you gauge if the company’s research direction aligns with your own aspirations.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams and academic collaborations, share examples of past teamwork experiences. Emphasise your ability to communicate complex ideas clearly and work effectively in a collaborative environment.
