AI Research Scientist Internship - Trusted Media Intern

Job Description

Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.
Geometric, Generative, and Good AI Team in Intelligent Systems Research Lab, Intel Labs conducts inter-disciplinary research for unraveling AI for humans to amplify human potential in physical and digital worlds, by creating trustworthy AI systems; AI-ficiation of complex problems; and reconstructing, animating, and securing digital personas. Research topics root from computational geometry, computer vision, and signal processing methods in 2D and 3D, to formulate problems in the specific domain and to build AI-based novel perspectives using the priors of that domain. We conduct fundamental and applied research in the context of vertical domains including manufacturing, media, enterprise, metaverse, and assistive computing.

Intel Labs is an industry-leading research organization, responsible for driving Intel's technology pipeline, product innovations, and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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. 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 physiology. 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.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:
The candidate must hold a B.S degree and be pursuing a Ph.D. program in Computer Science, 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, and Physiology
• Knowledge of Computer Vision techniques such as object detection, recognition, segmentation, tracking, and reconstruction
• Knowledge of Generative Models such as GANs, Variational Autoencoders, and Blend Shapes
• Knowledge of Machine Learning techniques such as Adversarial Learning, Probabilistic methods, Physics-based Models, and Model Adaptation
• Experience in Signal Processing techniques beyond audio-visual domain, such as PPG, EEG, and MRI
• Knowledge of black-box Model Interpretability techniques for explaining model predictions and using the black-box models for designing Adversarial Attacks

Behavior traits:

• Proven track record of collaboration and technical leadership to deliver leading-edge solutions
• Verbal communication, technical writing, and presentation skills.

Work Model for this Role
This role is available as remote position (work-from-home) and would require you to visit Intel sites based on business need.

This is an internship position and compensation will be given accordingly.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Inside this Business Group
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing - across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Other Locations

US,OR,Hillsboro;US,CA,San Diego;US,AZ,Virtual

Covid Statement
Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in US, Colorado and New York:$63,000.00-$166,000.00
*Salary range dependent on a number of factors including location and experience

Working Model
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.