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- Tasks: Support cutting-edge research projects and contribute to algorithm development in AI.
- Company: Join MediaTek, a leader in semiconductor technology, based in Greater London.
- Benefits: Gain hands-on experience, mentorship, and opportunities for continuous learning.
- Other info: Dynamic research environment with excellent growth potential.
- Why this job: Be at the forefront of AI research and make a real impact in the tech industry.
- Qualifications: PhD enrolment in Machine Learning or related fields with strong programming skills.
The predicted salary is between 40000 - 50000 £ per year.
MediaTek is looking for an Associate Researcher in Greater London. The role involves supporting research projects, conducting experiments, and contributing to algorithm development.
Candidates should be enrolled in a PhD program in Machine Learning or related fields and have strong programming skills in languages like Python or C++.
Preferred qualifications include experience in optimization and familiarity with deep learning frameworks. A commitment to continuous development is essential.
AI Researcher: ML, RL & LLMs for Semiconductors in London employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Researcher: ML, RL & LLMs for Semiconductors in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and semiconductor fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML, RL, and LLMs. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your programming skills in Python or C++, and have examples of your work handy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Researcher: ML, RL & LLMs for Semiconductors in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, Reinforcement Learning, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python or C++!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how your background fits with our needs at MediaTek. We love seeing enthusiasm and a commitment to continuous development.
Showcase Relevant Projects: If you've worked on any projects related to optimization or deep learning frameworks, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your skills and creativity.
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 shows you’re serious about joining our team!
How to prepare for a job interview at MediaTek
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms, especially those related to machine learning and reinforcement learning. Be prepared to discuss how you've applied these concepts in your previous projects or research.
✨Show Off Your Coding Skills
Since strong programming skills are a must, practice coding problems in Python or C++. You might be asked to solve a problem on the spot, so being comfortable with coding challenges will give you an edge.
✨Familiarise Yourself with Deep Learning Frameworks
If you have experience with frameworks like TensorFlow or PyTorch, be ready to talk about specific projects where you used them. If not, do some quick research to understand their applications and be prepared to discuss how you would use them in your work.
✨Demonstrate Your Commitment to Learning
MediaTek values continuous development, so share examples of how you've pursued learning opportunities in the past. Whether it's online courses, workshops, or conferences, showing your dedication to growth can set you apart.