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- Tasks: Contribute to cutting-edge AI projects and build practical systems from research ideas.
- Company: Join a forward-thinking team dedicated to advancing AI in semiconductor design.
- Benefits: Competitive salary, ongoing development opportunities, mentorship, and collaborative culture.
- Why this job: Make a real impact in AI research while working with innovative technologies.
- Qualifications: Experience in machine learning, programming skills, and strong problem-solving abilities.
- Other info: Dynamic environment with excellent growth potential and support for your professional journey.
The predicted salary is between 36000 - 60000 £ per year.
As a Research Engineer, you are expected to contribute to cutting-edge projects that advance both applied and theoretical aspects of AI. This role is ideal for individuals who are passionate about building practical systems from research ideas, thrive in a collaborative environment, and are committed to supporting impactful research through technical excellence.
Our team operates in two main directions:
- Applying AI to the design and optimization of semiconductors
- Conducting 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
- Implement and test research ideas in machine learning and artificial intelligence
- Build prototypes and support experiments for team and company projects
- Collaborate with researchers to translate theoretical models into practical systems
- Maintain and improve research infrastructure, tools, and workflows
- Assist in preparing technical documentation and reports
- Stay up to date with the latest advancements in AI and related fields
Requirements
Required
- Experience implementing machine learning algorithms and techniques
- Proficiency in programming languages such as Python, C++, or similar
- Strong problem-solving skills and ability to work both independently and collaboratively
- Good communication skills, with the ability to document and explain technical work clearly
Preferred
- Experience with optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Experience building and maintaining research infrastructure or tools
- Exposure to chip design or applied AI research
Ongoing Development
Employees are encouraged to continue developing their technical skills, seek out new learning opportunities, and actively contribute to the team’s goals. Regular feedback, mentorship, and support will be provided to help you achieve your professional objectives and grow as a research engineer.
Compensation and Closing
Competitive package available.
Closing Date - 5-March-2026
Research Engineer employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to the role of a Research Engineer. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Engineer role. Highlight your experience with machine learning algorithms and any relevant projects you've worked on, especially those involving AI applications.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention specific projects or technologies that excite you!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing how you approach challenges, especially in collaborative settings, so share those experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at MediaTek
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI, especially in areas like large language models and reinforcement learning. Be ready to discuss how you've implemented machine learning algorithms in the past and how they relate to the projects the company is working on.
✨Show Off Your Collaboration Skills
Since this role thrives in a collaborative environment, think of examples where you've worked with others to translate theoretical models into practical systems. Highlight your communication skills and how you document and explain technical work clearly.
✨Demonstrate Problem-Solving Prowess
Prepare to tackle some problem-solving scenarios during the interview. Think about challenges you've faced in previous projects and how you approached them. This will show your ability to think critically and work independently when needed.
✨Familiarise Yourself with Tools and Frameworks
If you have experience with deep learning frameworks like TensorFlow or PyTorch, be ready to discuss it. Also, if you've built or maintained research infrastructure, share those experiences. It’ll show that you’re not just theoretically sound but also practically skilled.