At a Glance
- Tasks: Research and develop cutting-edge AI-driven video compression models.
- Company: Join InterDigital, a leader in AI and wireless communications.
- Benefits: Competitive salary, inclusive culture, and opportunities for innovation.
- Other info: Collaborative environment with strong focus on career growth and development.
- Why this job: Make an impact in the future of video technology with your research.
- Qualifications: Degree in Mathematics, Physics, or Computer Science; experience in deep learning.
The predicted salary is between 50000 - 70000 £ per year.
The Research & Innovation (R&I) team at InterDigital includes more than 250 researchers and engineers with world‑class expertise in AI, wireless communications, and visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI‑driven video compression models. We are seeking a research engineer who will work to research, design, implement and optimize these models.
Key Qualifications
- Bachelor or Master (PhD a plus) in Mathematics, Physics, Machine Learning or Computer Science
- Some mixture of background in Mathematics or Physics with Machine Learning or Computer Science
- Experience researching, developing and training deep learning models, either in PyTorch or JAX
- Nice to have: Publications, patents, or significant open‑source contributions in relevant areas are a plus
- 2+ years of relevant research experience in machine learning or computer vision a plus
Responsibilities
- Research, prototype and evaluate novel neural architectures for AI‑based video compression and next generation video coding models
- Produce high quality research outputs and patentable innovations in AI‑based video compression and video coding, working closely with internal IP teams to capture and protect novel ideas
- Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets
- Collaborate and communicate research ideas within your team and more widely across teams to non‑technical colleagues
- Work on proof‑of‑concept projects with various teams and incorporate successful approaches into larger platforms and demonstrators
- Stay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projects
- Represent the company, promote and defend proposals from the company, through standard contributions, top academic conferences and scientific journals
Location: London, UK
Research Engineer in London employer: InterDigital Europe, Ltd.
InterDigital is an exceptional employer that fosters a culture of innovation and collaboration, particularly within its Research & Innovation team in London. Employees benefit from a dynamic work environment that encourages professional growth through cutting-edge projects in AI and machine learning, alongside opportunities to contribute to impactful research outputs. With a commitment to diversity and inclusion, InterDigital provides a supportive atmosphere where every team member can thrive and make meaningful contributions to the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at InterDigital. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and video compression. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences and how they relate to the role of a Research Engineer at InterDigital.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and deep learning. We want to see how your background in Mathematics, Physics, or Computer Science aligns with the role of a Research Engineer.
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving PyTorch or JAX. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI-driven video compression and how your entrepreneurial mindset fits with our culture at InterDigital.
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 keen on joining our team!
How to prepare for a job interview at InterDigital Europe, Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, deep learning, and video compression. Be ready to discuss your experience with frameworks like PyTorch or JAX, and have examples of your work handy. This will show that you're not just familiar with the concepts but can also apply them.
✨Show Off Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving neural architectures or AI-driven models. If you have publications or open-source contributions, bring them up! This demonstrates your commitment to the field and your ability to produce high-quality research outputs.
✨Collaboration is Key
InterDigital values teamwork, so be ready to discuss how you've collaborated with others in past roles. Think of examples where you communicated complex ideas to non-technical colleagues or worked on cross-team projects. This will highlight your ability to fit into their culture.
✨Stay Current
Research the latest trends in machine learning and video coding before your interview. Being able to discuss recent advancements or breakthroughs shows that you're passionate about the field and eager to bring fresh ideas to the table. It’s a great way to impress your interviewers!
