AI Research Residency

AI Research Residency

Internship 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Conduct innovative AI research and develop algorithms in a collaborative environment.
  • Company: MediaTek is a global leader in semiconductors, driving advancements in AI technology.
  • 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 with top researchers.
  • Qualifications: PhD in relevant fields and proficiency in programming languages like Python or C++ required.
  • Other info: Engage in collaborations with leading universities and contribute to open-source projects.

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

MediaTek is an exceptional employer for those passionate about AI research, offering a unique opportunity to work at the cutting edge of technology in vibrant London/Cambridge. With a strong commitment to mentorship and professional development, residents will engage in impactful projects while collaborating with world-class researchers and contributing to the broader scientific community. The hybrid work model fosters a dynamic and inclusive work culture, making it an ideal environment for recent graduates and early-career researchers looking to make meaningful contributions in their field.
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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 ICLR. Networking with professionals in these settings can provide valuable insights and connections that may benefit your application.

✨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 ability to apply theoretical knowledge.

✨Tip Number 4

Prepare to discuss your previous research experiences and how they relate to the responsibilities of the residency. Being able to articulate your thought process and problem-solving approach will impress the interviewers.

We think you need these skills to ace AI Research Residency

Proficiency in Python and C++
Strong problem-solving skills
Experience with machine learning algorithms
Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
Familiarity with large language models (LLMs)
Understanding of optimization methods for deep learning
Experience in reinforcement learning (RL)
Excellent communication skills
Ability to present complex ideas clearly
Research publication experience in top-tier conferences
Collaboration skills for cross-functional teamwork
Adaptability to stay updated with AI advancements
Creative thinking in research direction

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, artificial intelligence, and any programming languages you are proficient in. Emphasise your academic achievements, especially if you have published in top conferences.

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 they align with the company's focus.

Highlight Your Research Experience: In your application, detail any research projects you've worked on, particularly those related to AI. Discuss your role, the methodologies used, and any outcomes or publications resulting from your work.

Prepare for Technical Questions: Be ready to discuss your technical skills and knowledge during the interview process. Brush up on algorithms, programming languages, and recent advancements in AI to demonstrate your expertise and enthusiasm.

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 and artificial intelligence. Brush up on key concepts, algorithms, and frameworks like TensorFlow or PyTorch. Be ready to explain your thought process and problem-solving approach clearly.

✨Highlight Collaboration Skills

Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Share examples of past experiences where you successfully worked with others to achieve a common goal, especially in research settings.

✨Discuss Your Publication Experience

If you have a strong publication record, be sure to mention it. Talk about the research you conducted, the challenges you faced, and the impact of your findings. This will showcase your capability to contribute to MediaTek's commitment to open science.

AI Research Residency
MediaTek
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