Research Intern
1 week ago
About InterDigital
InterDigital is a global research and development company focused on wireless, video, artificial intelligence, 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.
InterDigital is a registered trademark of InterDigital, Inc.
Research Opportunities
The InterDigital AI Lab in Silicon Valley is looking for motivated Ph.D. students for internships in Deep Learning for Image and Video Processing.
You will develop proof-of-concepts, prototypes, and research ideas that tie machine learning and AI technologies with a broad range of video and wireless technologies.
You will get the opportunity to publish your work at leading conferences.
Some of our recent work includes novel approaches to images and videos using neural networks, we develop platforms for automated development and testing of deep image compression, as well as video feature coding for machine-to-machine communication.
Research Areas
We are looking for candidates interested in the following research areas:
1. Compression of intermediate features in the context of split inference
2. Deep learning-based image and video compression
3. Visual embeddings for multiple machine vision tasks
4. Real-time neural network inference on GPU-enabled devices
Qualifications
Ph.D. student in Computer Science/Engineering, Electrical Engineering, Statistics, or relevant discipline
Strong background in computer vision and/or image/video processing or compression
Proficient in using Tensorflow or Pytorch (preferred)
Internship Benefits
We promote long-lasting collaborations with our interns.
Publish in leading conferences including NeurIPS, ICLR, ICASSP, INFOCOM, SIGCOMM, GLOBECOM.
Opportunity to collaborate with leading researchers in their fields.
InterDigital leads the way in Video and Wireless Technologies:
Laser focused on research with more than 300 engineers and researchers.
We invent solutions for efficient wireless networks, better video delivery, and richer multimedia experiences - more than $1B invested in R&D efforts since 2000.
We designed and developed a wide range of technologies used in 4G and 5G wireless, and in many video standards (MPEG, H.265, H.266, ...).
80% of consumer electronics manufacturers integrate our technology.
Internship Details
Full Time (Resident) onsite
Location: Los Altos, CA
InterDigital is an equal employment opportunity employer.
We 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, 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.
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.
A reasonable estimate of the current salary range specific to New York/CA is $45 - $55/hr and may include other forms of compensation components including benefits depending on the length of the assignment.
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience and may fall outside of the range shown.
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