At a Glance
- 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 a collaborative environment.
- Other info: Dynamic role with excellent career growth and support for continuous learning.
- Why this job: Make a real impact in AI research while developing your technical skills.
- Qualifications: Experience in machine learning and proficiency in Python or C++ required.
The predicted salary is between 50000 - 70000 £ 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.
Key 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.
Required Qualifications & Expectations:
- 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 Qualifications:
- 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.
Competitive Package Available
Closing Date - 1-May-2026
Research Engineer in Cambourne employer: MediaTek
As a leading innovator in the field of AI, our company offers Research Engineers the opportunity to work on groundbreaking projects that not only advance technology but also contribute to the scientific community. With a strong emphasis on collaboration, continuous learning, and professional development, employees are supported through mentorship and regular feedback, ensuring they thrive in their roles. Located in a vibrant tech hub, we provide a competitive package and a dynamic work culture that fosters creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in Cambourne
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and research engineering fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews – it’s all about making connections that could lead to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. Whether it's GitHub repos or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach problems, so be confident!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make an impact in AI. Tailor your application to highlight your experience with LLMs, reinforcement learning, and any relevant tools you’ve used – it’ll make a difference!
We think you need these skills to ace Research Engineer in Cambourne
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how your interests align with our cutting-edge projects and how you can contribute to both applied and theoretical aspects of AI.
Highlight Relevant Experience:Make sure to showcase your experience with machine learning algorithms and programming languages like Python or C++. We’re looking for specific examples that demonstrate your problem-solving skills and ability to work collaboratively.
Communicate Clearly:Good communication is key! Be sure to document your technical work clearly in your application. We appreciate candidates who can explain complex ideas simply and effectively, so don’t hold back on sharing your insights.
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 this exciting opportunity as a Research Engineer!
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 your past projects.
✨Show Off Your Collaboration Skills
This role thrives on teamwork, so be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you translated theoretical models into practical systems, as this will resonate well with the interviewers.
✨Demonstrate Problem-Solving Prowess
Expect to face some technical challenges during the interview. Practice explaining your thought process when tackling complex problems, and don’t shy away from discussing any setbacks you’ve faced and how you overcame them.
✨Communicate Clearly
Good communication is key! Be ready to explain your technical work in a way that’s easy to understand. Prepare to discuss your documentation practices and how you ensure clarity in your reports and presentations.
