At a Glance
- Tasks: Lead groundbreaking AI research projects and develop innovative algorithms.
- Company: Dynamic tech firm at the forefront of AI advancements.
- Benefits: Competitive salary, research funding opportunities, and a collaborative work environment.
- Other info: Exciting career growth and mentorship opportunities await you.
- Why this job: Make a real impact in AI while working with top experts in the field.
- Qualifications: PhD in relevant fields and strong publication record required.
The predicted salary is between 60000 - 80000 € per year.
As a Senior Researcher, you are expected to lead high-impact projects that drive both applied and theoretical advancements in AI. This role is ideal for individuals who excel at setting research directions, developing innovative solutions, and fostering collaborations. Senior Researchers are passionate about making a significant impact through their work and thrive in environments that value initiative and leadership.
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
- Lead significant research projects in machine learning and artificial intelligence
- Develop and implement novel algorithms and solutions for team and company initiatives
- Provide technical guidance and mentorship to junior staff and research interns
- Set and refine research directions in collaboration with team leadership
- Build and maintain collaborations with internal and external partners
- Secure research funding through grant writing and partnership development
- Publish research findings in top-tier conferences and journals
- Stay at the forefront of advancements in AI and related fields
Qualifications & Expectations
Required:
- PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience
- Extensive publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL)
- Demonstrated expertise in machine learning algorithms and techniques
- Advanced proficiency in programming languages such as Python, C++, or similar
- Proven ability to lead research projects and work both independently and collaboratively
- Strong communication skills, with the ability to present complex ideas clearly and influence research direction
Preferred:
- 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)
- Track record of securing research funding and building successful collaborations
1. Competitive Package Available
2. Closing Date: 14-June-2026
Senior Researcher employer: MediaTek Research Lab Inc.
As a leading employer in the AI research sector, we offer a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and support for publishing in top-tier conferences, while our competitive package ensures that your contributions are valued. Join us to make a meaningful impact in the field of artificial intelligence and be part of a team that is at the forefront of technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Researcher
✨Network Like a Pro
Get out there and connect with people in the AI and research community. Attend conferences, workshops, or local meetups to meet potential collaborators and industry leaders. Remember, it’s not just about what you know, but who you know!
✨Show Off Your Work
Make sure your research is visible! Share your publications and projects on platforms like ResearchGate or LinkedIn. This way, when hiring managers look you up, they can see your contributions and expertise right away.
✨Ace the Interview
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects in detail. Practice explaining complex concepts in simple terms – this shows you can communicate effectively, which is key for a Senior Researcher.
✨Apply Through Our Website
Don’t forget to apply directly 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 proactive and engaged with our company.
We think you need these skills to ace Senior Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Researcher role. Highlight your experience in AI, machine learning, and any relevant projects you've led. We want to see how your background aligns with our focus areas!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and research, and explain why you’re excited about joining us at StudySmarter. Be sure to mention specific projects or areas of interest that resonate with you.
Showcase Your Publications:Since we value a strong publication record, make sure to list your top publications prominently. Include links if possible, so we can easily check out your work and see how it fits with our team’s goals.
Apply Through Our Website:Don’t forget to apply 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 keen on being part of our community!
How to prepare for a job interview at MediaTek Research Lab Inc.
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the latest advancements in AI, especially in areas like large language models and reinforcement learning. Be prepared to discuss your past projects and how they relate to the role.
✨Showcase Your Leadership Skills
As a Senior Researcher, you’ll need to demonstrate your ability to lead projects and mentor others. Think of examples where you’ve successfully guided a team or influenced research direction, and be ready to share these during the interview.
✨Prepare for Technical Questions
Brush up on your programming skills and be ready to tackle technical questions related to machine learning algorithms and frameworks like TensorFlow or PyTorch. Practising coding problems can help you feel more confident.
✨Highlight Collaboration Experience
Collaboration is key in this role, so come prepared with examples of how you’ve built partnerships in previous positions. Discuss any successful collaborations that led to significant outcomes, as this will show your ability to work well with others.
