At a Glance
- Tasks: Research and develop cutting-edge AI-driven video compression models.
- Company: InterDigital, a leader in wireless and video technology innovation.
- Benefits: Competitive salary, diverse projects, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Join a dynamic team pushing the boundaries of AI and video technology.
- Qualifications: Bachelor's or Master's in relevant fields; experience with deep learning models.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About InterDigital
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.
As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
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.
You are a research engineer with expertise in deep learning model development and a background in scientific research. You have built, trained and optimized deep learning models in PyTorch or similar deep learning library. A track record of documenting your innovations in top academic conferences, journals, or patents would be nice to have.
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
- 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
- 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 with in 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
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. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.
Research Engineer in London employer: InterDigital
Contact Detail:
InterDigital Recruiting Team
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 current employees at InterDigital on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your deep learning projects, especially those related to video compression. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Stay updated with the latest trends in AI and video technologies. Being able to discuss recent advancements during your interview will show that you're passionate and knowledgeable about the field.
✨Tip Number 4
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 InterDigital team.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your expertise in deep learning and any relevant projects you've worked on. We want to see how your skills align with what we're doing at InterDigital!
Be Specific About Your Experience: Don't just list your qualifications; dive into the details! Share specific examples of how you've built, trained, and optimised deep learning models. This helps us understand your hands-on experience and how you can contribute to our team.
Keep It Professional Yet Personal: While we love a friendly tone, remember to keep it professional. Let your personality shine through, but ensure your application reflects your serious interest in the role and the company 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 Research Engineer position. Plus, it’s super easy!
How to prepare for a job interview at InterDigital
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge, especially in PyTorch or JAX. Be ready to discuss specific models you've worked on and the challenges you faced during development. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Research
If you have publications, patents, or open-source contributions, bring them up! Discussing your past research and how it relates to AI-based video compression can really set you apart. It demonstrates your commitment to innovation and your ability to contribute to the team’s goals.
✨Prepare for Technical Questions
Expect some technical questions related to neural architectures and video coding. Practise explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical colleagues. This will highlight your collaborative skills.
✨Stay Current with Trends
Keep yourself updated on the latest advancements in machine learning and video coding. Being able to discuss recent trends or breakthroughs shows your passion for the field and your eagerness to bring fresh ideas to InterDigital. It’s a great way to demonstrate your proactive approach!