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- Tasks: Design and implement AI-based video decoders to enhance video compression efficiency.
- Company: Join InterDigital, a leader in wireless and AI technologies.
- Benefits: Gain hands-on experience, mentorship from experts, and contribute to innovative projects.
- Other info: Opportunity for patents and publications in a dynamic research environment.
- Why this job: Make an impact in cutting-edge AI video technology while building your skills.
- Qualifications: MSc in Computer Science or related field with skills in deep learning and Python.
The predicted salary is between 20000 - 30000 £ per year.
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (AI), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming.
In this internship at the London AI Video Lab, the objective is to design computationally efficient video decoders in an AI-based video compression codec. Current AI-based video compression models outperform conventional codecs, like HEVC, VVC and AV1. However, this comes at the cost of impractical compute requirements: at decode, current AI-based video compression decoders are several orders of magnitude more complex than conventional video compression decoders. The goal of the internship is to design efficient AI-based decoders that leverage spatial sparsity to reduce their computational complexity.
This work will be seen as one step forward toward the deployment of end-to-end trained AI-based video compression models. The goal will be to find and review potential existing methods of spatial sparsity in AI-based video models. In a second step, spatially sparse AI-based decoders will be designed, implemented and integrated into the London AI Video Lab’s end-to-end trained video compression model. The performance of the proposed solution will be evaluated and compared to existing models. The internship will take place in the London AI Video Lab. The intern will be mentored by scientists and will be part of a research project developing end-to-end trained AI-based video compression models.
Duration: 5-6 months, starting January-April 2026
Responsibilities:
- State-of-the-art and analysis of existing solutions
- Implementation of a computationally efficient AI-based video decoder
- Evaluation and reporting of results
Qualifications:
- MSc in Computer Science, Machine Learning, Mathematics, Physics or a related field
- Deep learning, computer vision, Python, PyTorch
Expected Outcomes: Apart from the expected outcome that corresponds to the spatially sparse video model and its evaluation, this internship will be expected to generate patents and publications.
Location: London, UK
InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law.
Intern, Spatially Sparse AI-based video decoders in London employer: InterDigital
Contact Detail:
InterDigital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern, Spatially Sparse AI-based video decoders in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at InterDigital on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of AI-based video compression and spatial sparsity. We want to show that we’re not just interested, but genuinely passionate about the field!
✨Tip Number 3
Practice common interview questions, especially those related to your technical skills. Mock interviews with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills match the internship requirements.
We think you need these skills to ace Intern, Spatially Sparse AI-based video decoders in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the internship role. Highlight your skills in deep learning, computer vision, and any relevant projects you've worked on. We want to see how your background fits with our focus on AI-based video decoders!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and video compression. Share specific examples of your work or studies that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and PyTorch. If you’ve done any projects or research involving these technologies, make sure to include them. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at InterDigital
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI-based video compression and spatial sparsity. Familiarise yourself with key terms and concepts mentioned in the job description, like HEVC, VVC, and AV1. This will show your genuine interest and understanding of the field.
✨Showcase Your Skills
Prepare to discuss your experience with Python and PyTorch, as well as any relevant projects you've worked on. Bring examples of your work that demonstrate your ability to implement computationally efficient algorithms or models. This is your chance to shine!
✨Ask Smart Questions
During the interview, don’t hesitate to ask insightful questions about the team’s current projects or the technologies they’re using. This not only shows your enthusiasm but also helps you gauge if the role aligns with your interests and career goals.
✨Be Ready for Problem-Solving
Expect some technical questions or problem-solving scenarios related to video processing or machine learning. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to tackle challenges head-on.