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Internship

AI Research Scientist Internship - Trusted Media Intern

🚀 Summer Internship
💻 Remote
🤑 $63K - $166K
10d left

AI generated summary

  • You must be a Ph.D. candidate in CS or related field with 1+ year experience in DL, CV, AI frameworks, Python/C++, data analysis, statistical methods, and algorithm evaluation. Preferred qualifications include publications in top DL/CV/AI/CG venues and knowledge of Vision, Audio, 3D techniques.
  • You will research and develop responsible AI approaches for detecting manipulated digital content and integrating media provenance into AI algorithms. This includes exploring different modalities, building deep learning models, and developing prototypes for real-world applications.

Summer Internship

Software Engineering

Description

  • G3 AI Team is looking for a motivated summer intern with experience at the intersection of machine learning and computer vision domains who can collaborate on research projects being conducted in one or more of G3 AI's focus areas.

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

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering

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.

Details

Work type

Full time

Work mode

remote

Application deadline

Jun 3, 2024

Salary

63000 - 166000 USD