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- Tasks: Conduct innovative AI research and develop algorithms for real-world applications.
- Company: MediaTek is a global leader in semiconductors, driving advancements in AI technology.
- Benefits: Enjoy hybrid work options, professional growth opportunities, and a culture of intellectual curiosity.
- Why this job: Join a passionate team pushing AI boundaries and make a meaningful impact in the tech world.
- Qualifications: PhD or equivalent experience in relevant fields; strong publication record and programming skills required.
- Other info: Work in London/Cambridge with a competitive package; apply by 5-June-2025.
The predicted salary is between 48000 - 84000 ÂŁ per year.
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Job Description
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.
Job Description
We are seeking a highly motivated and talented Research Scientist to join our AI research team. The ideal candidate will have a strong background in machine learning, artificial intelligence, computer science, mathematics, or physics, and a proven track record of research excellence. As a Research Scientist, you will work on cutting-edge projects that push the boundaries of AI and contribute to both applied and theoretical advancements in the field.
This role is ideal for individuals who are excited to define and pursue their own research directions, thrive in an environment of self-driven exploration, and see research as more than a job—but as a passion and a way to make meaningful impact.
Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors, and the other dedicated to fundamental research that supports both our applications and the broader scientific community.
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
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
Requirement
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
Requirements
Qualifications:
- PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience
- Strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL)
- Expertise in machine learning algorithms and techniques
- Proficiency in programming languages such as Python, C++, or similar
- Excellent problem-solving skills and the ability to work independently and collaboratively
- Strong communication skills, with the ability to present complex ideas clearly
Nice-to-have:
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
- Experience in chip design and applied AI research
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
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
- Drive real-world impact through applications across MediaTek’s product portfolio
- Publish your work in prestigious conferences and journals
- Collaborate with leading universities and academic researchers
- Benefit from a hybrid work arrangement
- Access opportunities for professional growth and development in a culture that values initiative and intellectual curiosity
Location: London/Cambridge
Competitive Package Available
Closing Date – 5-June-2025
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Computer Hardware Manufacturing, Semiconductor Manufacturing, and Wireless Services
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Senior Research Scientist employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist
✨Tip Number 1
Network with professionals in the AI and semiconductor fields. Attend conferences like NeurIPS or ICML where you can meet researchers and industry leaders. Engaging in discussions can help you learn about unadvertised opportunities and get insights into what MediaTek is looking for.
✨Tip Number 2
Showcase your research work on platforms like ResearchGate or Google Scholar. Having a strong online presence with your publications can attract attention from recruiters at MediaTek, especially if your work aligns with their focus areas like LLMs or reinforcement learning.
✨Tip Number 3
Engage with MediaTek's projects and initiatives on social media or through their website. Understanding their current research directions and expressing genuine interest can set you apart during interviews, demonstrating that you are proactive and well-informed.
✨Tip Number 4
Prepare to discuss your past research experiences in detail. Be ready to explain your methodologies, findings, and how they relate to the responsibilities of the Senior Research Scientist role. This will show your depth of knowledge and passion for the field.
We think you need these skills to ace Senior Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, artificial intelligence, and any specific projects that align with MediaTek's focus areas. Emphasise your publication record in top-tier conferences like NeurIPS or ICML.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI research and how it aligns with MediaTek's mission. Mention specific projects or areas of interest that excite you and demonstrate your understanding of their work in both applied and theoretical AI.
Showcase Your Research Experience: Detail your research experience, particularly any innovative projects you've led or contributed to. Highlight your problem-solving skills and ability to work independently, as well as your collaborative experiences with cross-functional teams.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms and programming languages. Be ready to discuss your expertise in Python, C++, or deep learning frameworks like TensorFlow or PyTorch during the interview process.
How to prepare for a job interview at MediaTek
✨Showcase Your Research Passion
Make sure to express your genuine enthusiasm for research during the interview. Discuss specific projects you've worked on, especially those that align with MediaTek's focus on AI and machine learning. This will demonstrate that you see research as a passion rather than just a job.
✨Highlight Your Publication Record
Since a strong publication record is crucial for this role, be prepared to discuss your published papers in detail. Highlight the impact of your work and how it relates to the areas of interest mentioned in the job description, such as large language models or reinforcement learning.
✨Demonstrate Technical Proficiency
Be ready to discuss your expertise in programming languages like Python or C++. You might be asked to solve technical problems or explain algorithms, so brush up on your coding skills and be prepared to showcase your problem-solving abilities.
✨Prepare for Collaborative Scenarios
As collaboration is key in this role, think of examples where you've successfully worked in cross-functional teams. Be ready to discuss how you communicate complex ideas clearly and how you can contribute to integrating AI solutions within a team setting.
