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For Companies At a Glance
- Tasks: Research and develop cutting-edge AI-driven video compression models.
- Company: Join InterDigital, a leader in wireless and video technology innovation.
- Benefits: Competitive salary, diverse projects, and opportunities for professional growth.
- Why this job: Make an impact in the future of video technology with your research skills.
- Qualifications: Experience in deep learning model development, preferably in PyTorch or JAX.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ 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.
The team
- 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
Nice to have
- Publications, patents, or significant open-source contributions in relevant areas are 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
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.
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
- Experience researching, developing and training deep learning models, either in PyTorch or JAX
- 2+ years of relevant research experience in machine learning or computer vision a plus
Location: London, UK
Research Engineer in England employer: INTERDIGITAL, Inc.
Contact Detail:
INTERDIGITAL, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings at InterDigital.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and video compression. This is your chance to shine and demonstrate what you can bring to the table at InterDigital.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with both techies and non-techies at InterDigital.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the InterDigital team.
We think you need these skills to ace Research Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Engineer role. Highlight your background in Mathematics, Physics, or Machine Learning, and don’t forget to mention any relevant publications or projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-based video compression and how your experience makes you a perfect fit for our team at InterDigital. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects, especially those involving deep learning models, make sure to include them in your application. We love seeing practical examples of your work, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at INTERDIGITAL, Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in AI, video compression, and deep learning. Familiarise yourself with InterDigital's projects and innovations, especially those related to wireless technology and video coding. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Showcase Your Work
Prepare to discuss your previous research and projects in detail. Bring along examples of your work, whether it's publications, patents, or open-source contributions. Being able to articulate your thought process and the impact of your work will impress the interviewers and demonstrate your expertise.
✨Practice Problem-Solving
Expect technical questions that may involve problem-solving on the spot. Brush up on your coding skills, particularly in PyTorch or JAX, and be ready to tackle challenges related to deep learning model development. Practising common algorithms and data structures can also give you an edge.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. During the interview, focus on clear communication and ensure you can convey your ideas effectively. This will highlight your ability to work well within a diverse team at InterDigital.
