At a Glance
- Tasks: Lead complex AI research projects and optimise cutting-edge algorithms.
- Company: Join a pioneering tech firm focused on AI and semiconductor innovation.
- Benefits: Competitive salary, mentorship, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in AI while mentoring the next generation of engineers.
- Qualifications: Extensive experience in machine learning and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Research Engineer, you are expected to lead engineering efforts on complex research projects that advance both applied and theoretical aspects of AI. This role is ideal for individuals who excel at optimizing algorithms, ensuring scalability, and aligning engineering work with ambitious research goals. Senior Research Engineers play a key role in mentoring junior engineers, driving technical excellence, and contributing to impactful research outcomes.
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 engineering efforts on complex research projects in machine learning and artificial intelligence
- Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
- Coordinate closely with researchers to align engineering work with research objectives and project goals
- Mentor and provide technical guidance to junior engineers and research staff
- Contribute to technical publications and assist in preparing research documentation
- Maintain and improve research infrastructure, tools, and workflows
- Stay up to date with the latest advancements in AI, engineering best practices, and related fields
Qualifications & Expectations:
Required:
- Extensive experience implementing and optimizing machine learning algorithms and systems
- Advanced proficiency in programming languages such as Python, C++, or similar
- Proven ability to lead engineering projects and work independently and collaboratively
- Experience mentoring junior engineers or technical staff
- Strong problem-solving skills and excellent communication abilities, including technical documentation
Preferred:
- Experience with optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Experience with scalable system design and deployment in research or production environments
- Exposure to chip design or applied AI research
- Track record of contributing to technical publications or open-source projects
Ongoing Development:
Senior Research Engineers are encouraged to continue developing their leadership and technical expertise, seek out new opportunities for innovation, and actively contribute to the team’s strategic goals. Regular feedback, mentorship, and support will be provided to help you maximize your professional growth and impact.
Competitive Package Available
Closing Date - 1-May-2026
Senior Research Engineer in Cambourne employer: MediaTek
As a Senior Research Engineer at our company, you will thrive in a dynamic and innovative environment that prioritises both personal and professional growth. With a strong emphasis on mentorship and collaboration, we offer a competitive package alongside opportunities to lead cutting-edge research projects in AI and machine learning. Our culture fosters creativity and technical excellence, making it an ideal place for those looking to make a meaningful impact in the field while working with like-minded professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Engineer in Cambourne
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This is your chance to demonstrate your expertise in optimising algorithms and leading engineering efforts.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with programming languages like Python or C++, and how you've mentored junior engineers in the past.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with AI, deep learning frameworks, and any contributions to technical publications.
We think you need these skills to ace Senior Research Engineer in Cambourne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Research Engineer role. Highlight your experience with machine learning algorithms, programming languages, and any mentoring you've done. We want to see how you can contribute to our ambitious research goals!
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 perfect fit for our team. Don’t forget to mention specific projects or achievements that demonstrate your expertise in optimization and scalability.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical applications of your skills, especially in areas like reinforcement learning or large language models. This helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at MediaTek
✨Know Your Algorithms
Make sure you brush up on your knowledge of machine learning algorithms, especially those related to optimisation and scalability. Be ready to discuss specific projects where you've implemented these algorithms and the impact they had.
✨Showcase Your Mentoring Skills
Since mentoring junior engineers is a key part of this role, prepare examples of how you've guided others in the past. Think about challenges faced and how you helped them overcome those hurdles.
✨Align with Research Goals
Familiarise yourself with the company's current research interests, particularly in large language models and reinforcement learning. Be prepared to discuss how your engineering work can align with and support these ambitious research objectives.
✨Stay Updated on AI Trends
Demonstrate your passion for AI by discussing recent advancements in the field. Bring up any relevant publications or projects you've been involved in that showcase your commitment to staying at the forefront of technology.
