Deep Learning Researcher

MediaTek
Cambourne
2 years ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Research Fellow (Computer Vision)

Machine Learning Engineer - Satellite

Machine Learning Engineer Space & Satellite

Job DescriptionDo you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek Research UK Ltd is seeking an exceptional research scientist to extend state-of-the-art research in deep learning. The ideal candidate is open-minded, passionate about learning theory, and looks forward to both practical and challenging problems.

As a Deep Learning Researcher in our team, you will collaborate with our Cambridge Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices. You will also push your contribution by publishing at top-tier conferences, such as ACL, NeurIPS, CoNLL, EMNLP, NACCL, EACL, ICML, CVPR, ICDM, LREC, ICLR.

Location

This position will be at our Cambourne, Cambridgeshire office, based 9 miles outside Cambridge city centre (with frequent direct bus services). Cambridge is also conveniently located circa one hour from Central London, four main London airports and The Eurostar. Remote working can be negotiated.
RequirementQualifications

•PhD in Mathematics, Computer Science, Electrical Engineering, Physics or related
•Track record of coming up with new ideas, as demonstrated by projects or first author publications conferences
•Software skills spanning from conceptual stage (like Python) to deployment stage (feature release, version control)

Skills

•Good oral and written communications skills
•Hands-on experience with Machine Learning frameworks (like Keras, Tensorflow or PyTorch)
•Experience in agile development process
•Experience in Natural Language Processing, Computer Vision is preferred
•Experience in distributed computing is preferred

MediaTek Research UK Ltd
MediaTek Research UK Ltd is the central research-oriented arm for the global MediaTek Group. The Research Lab shall advance the state of the art of AI and Communications technology, and deliver critical algorithms to enable innovative business cases.

About MediaTek
MediaTek Research UK Ltd’s parent group is a leading semiconductor product and technology company. We look for people with great passion and work ethic, who have a broad set of technical skills who are ready to master new technologies and tackle some of the industry’s greatest challenges to positively impact billions, of future users. At MediaTek, our employees are revolutionizing the shape, size and capability of devices in many parts of the consumer electronics, computing, wireless and mobile industry. From feature phones and smartphones, to tablets and digital television, MediaTek employees are changing the industry one innovative product after another.

MediaTek is a global company, focusing on innovation and execution of excellent product solutions for our customers. At MediaTek, we know that every employee makes important contributions and that every employee is integral to our success. We provide competitive compensation packages that can be comprised of competitive salary and bonus, along with the opportunity to earn further financial bonuses and rewards.

Competitive Package Available
Closing Date - 24th October 2023

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.