AI Research Scientist Internship - Trusted Media Intern

Intel Corporation

Apr 11

Applications are closed

Internship
Full-time
Summer Internship
Software Engineering
$63K - $166K

Requirements

The candidate must be pursuing a Ph.D. degree in Computer Science, Computer Engineering, Electrical Computer Engineering, or any related field.
1+ year experience in below areas:
Deep Learning and Computer Vision, i.e., Generative Models, Image and Signal Processing, Multimodal Artificial Intelligence, Interpretable Machine Learning
Novel architectures beyond convolutional networks, such as transformers, attention modules, generative adversarial networks, conditional autoencoders, diffusion models
AI frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe)
Python and/or C++ languages
Data analysis, statistical methods, and algorithm evaluation
Preferred Qualifications:
Publications in top DL/CV/AI/CG venues such as CVPR, ICCV, PAMI, NeurIPS, SIGGRAPH.
Experience in Deep Learning based techniques at the intersection of Vision, Audio, 3D, and other modalities
Knowledge of Computer Vision techniques such as object detection, recognition, segmentation, tracking, and reconstruction
Knowledge of Generative Models such as GANs, Variational Autoencoders, Blend Shapes, and Diffusion Models
Knowledge of Machine Learning techniques such as Adversarial Learning, Probabilistic Methods, Physics-based Models, and Model Adaptation
Knowledge of black-box Model Interpretability techniques for explaining model predictions and using the black-box models for designing Adversarial Attacks

Responsibilities

The successful candidate will be working on developing responsible AI approaches related to the integrity of digital content, including manipulated content detection, synthetic data generation, media provenance, and adversarial attacks on such systems, with one or more of modalities such as vision, audio, speech, or biological signals. Current projects span across vertical domains like manipulated media identification using biological priors, novel neural network architectures for responsible generation, or integrating media provenance to AI algorithms. In this position you will have the opportunity to conduct independent research on building multimodal learning systems and applications. Typical work would span across exploring signals and priors of different domains, data curation and database ingestion, developing, optimizing, and deploying deep learning models within different domains, and developing and applying model interpretation methods to support decision making. You will be researching fundamental concepts and methods for exploiting authenticity and fakery signals in manipulated media, building and evaluating systems and proofs-of-concept that will allow for the deployment of scalable approaches in real settings. This research will enable internal technology transfers and publication of findings in both internal and external venues. In addition to the research collaterals, building proof of concept prototypes is also expected from the candidate.

Intel Corporation

Technology

Industry

10,001+

Employees

1968

Founded Year

Mission & Purpose

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.