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 opportunities to publish and patent your work.
- 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 machine learning is a plus.
The predicted salary is between 60000 - 80000 £ 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 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 not only values technical expertise but also promotes an entrepreneurial mindset, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and video compression. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your past projects in detail. We want to see your passion and expertise shine!
✨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 our team at InterDigital.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in Mathematics, Physics, and Machine Learning. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with deep learning models, especially if you've worked with PyTorch or JAX. This helps us see why you’re the perfect fit for our team!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and passion for the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do!
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 specific models you've worked on, especially in PyTorch or JAX. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Projects
Prepare to talk about any relevant research projects, publications, or open-source contributions you've made. Highlight how these experiences have shaped your understanding of AI-driven video technologies and how they can be applied at InterDigital.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've successfully communicated complex ideas to non-technical colleagues. This will demonstrate your ability to work across teams and ensure everyone is on the same page.
✨Stay Current
Keep yourself updated with the latest advancements in machine learning and video coding. Mention any recent papers or breakthroughs that excite you during the interview. This shows your passion for the field and your commitment to bringing innovative ideas to the table.
