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- 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 team, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in the future of video technology with your research.
- Qualifications: Experience in deep learning model development, preferably in PyTorch or JAX.
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.
The team 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.
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
- 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
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 employer: INTERDIGITAL, Inc.
Contact Detail:
INTERDIGITAL, Inc. Recruiting Team
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, especially those at InterDigital. Attend meetups or webinars related to AI and video tech. You never know who might have a lead on a job or can put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning models. If you've got publications or patents, flaunt them! This is your chance to shine and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your past projects and how they relate to the role at InterDigital. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new openings that match your skills and interests.
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 with deep learning models, especially if you've worked with PyTorch or JAX. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the Research Engineer position. Mention specific technologies and methodologies from the job description that you’ve worked with. This shows us you’re genuinely interested and have done your homework!
Keep It Clear and Concise: While we love detail, make sure your application is easy to read. Use clear language and structure your information logically. A well-organised application helps us understand your journey and expertise without getting lost in the details.
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, it gives you a chance to explore more about us and what we do at InterDigital!
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 technologies 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 projects, especially those involving deep learning models in PyTorch or JAX. Bring along any publications, patents, or open-source contributions that highlight your expertise. This not only demonstrates your skills but also your commitment to advancing technology in the field.
✨Collaborative Spirit
InterDigital values teamwork, so be ready to talk about how you've collaborated with others in past roles. Share examples of how you communicated complex ideas to non-technical colleagues or worked on cross-functional projects. This will illustrate your ability to fit into their culture and contribute effectively.
✨Stay Curious
Express your enthusiasm for continuous learning and staying updated with advancements in machine learning and video coding. Mention any recent research papers or conferences you've attended. This shows that you're proactive and eager to bring fresh ideas to the table, which is crucial for a role in research and innovation.