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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: Engage in a 12–24 month residency 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 trends and breakthroughs in AI and machine learning. Follow key conferences like NeurIPS and ICML to understand what research is currently being published and discussed, as this will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field through platforms like LinkedIn or relevant online forums. Engaging with researchers and engineers can provide insights into the company culture at MediaTek and may even lead to referrals for the residency programme.
✨Tip Number 3
Showcase your passion for open science and collaboration by participating in open-source projects or contributing to academic publications. This demonstrates your commitment to the scientific community and aligns with MediaTek's values.
✨Tip Number 4
Prepare to discuss your previous research experiences and how they relate to the specific areas mentioned in the job description, such as reinforcement learning or large language models. Tailoring your discussion points will show that you are not only qualified but also genuinely interested in their work.
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 how they relate to real-world applications in AI research.
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 relate to large language models or reinforcement learning.
✨Demonstrate Technical Proficiency
Be prepared to discuss your programming skills in languages like Python or C++. You might be asked to solve a coding problem or explain your approach to optimisation methods, so brush up on your technical knowledge beforehand.
✨Engage with the Interviewers
Remember, interviews are a two-way street. Prepare thoughtful questions about the research projects at MediaTek and the mentorship opportunities available. This shows your genuine interest in the role and the company.
✨Highlight Collaborative Experience
Since the role involves working with cross-functional teams, share examples of past collaborations. Discuss how you contributed to team projects and what you learned from working with others in an academic or professional setting.
