Intelligent Systems Research Lab (ISR) focuses on augmenting human capabilities and experiences by understanding practices in everyday life and developing AI algorithms, systems and solutions to enable disruptive applications. We are a multi-disciplinary lab that brings together skills in social science, design, AI and computational imaging. We tackle pain points in current AI systems including accuracy, computational efficiency, generalizability to new domains, training data size and explainability. We build technologies to enable true collaboration between humans and AI in smart spaces and robotics and develop workloads like computational imaging, video understanding, multi-modal conversational agents, Deep RL and graph neural networks that can establish performance advantages for Intel platforms.

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.

ISR is looking for a research intern with experience in responsible AI and Human/AI collaboration. In this position you will have the opportunity to conduct independent research on building responsible AI technologies focused on fairness, transparency and explainability in the context of real world settings. This research will inform our corporate wide responsible AI effort, enable internal and external teams to develop AI responsibility and impact our tools and solutions. You will collaborate with a multi-disciplinary team across social science, HCI and AI.

Responsibilities include:

• Define and conduct research on Responsible AI and/or Human-Centered AI, including ML, health, education, HCI, and other interdisciplinary fields.
• Collaborate with the Responsible AI advisory council to take some of this research to practice and with other product groups to across Intel to enable our tools with these capabilities.
• Collaborate with other researchers in ISR and IL to advance the research and conduct real world experiments and validation of the research.
• Publish and present novel research findings in top academic venues; engage with the academic community.

 

The successful candidate should exhibit the following behavioral traits:

• Good analytical, logical, and problem-solving attitude
• Good verbal and written communication skills

 

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

Qualifications

You must possess the below minimum qualifications to be considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experiences listed may be obtained through academic coursework or projects, prior internships, or comparable industry roles.

Minimum Qualifications:

• The candidate must possess a Ph.D. degree in Computer Science, Computer Engineering, or any related field.

 

6+ months of experience on below areas:

• Research related to Human-Centered AI, Human AI collaboration, ML, HCI, and related interdisciplinary research topics.
• Research and publications in Responsible AI including interpretability, explain ability and fairness.
• Deep Learning, Multimodal Artificial Intelligence, Interpretable Machine Learning
• Python and/or C++ languages, and Linux OS

Preferred Qualifications:

• Knowledge of black-box Model Interpretability techniques for explaining model predictions
• Research related to Sustainability of AI models, training with limited data, active learning and continual learning.
• 1+ publications in the following areas : AI FATE (e.g., FAccT), AI/ML (e.g., NeurIps, ICML, CVPR, etc.), or HCI (e.g., CHI, UIST, UbiComp, etc.).
• Research related to multi-modal machine learning including vision, audio, biological signals, text.
• Knowledge of Machine Learning techniques such as Few Shot Learning, Meta Learning, Adversarial Learning, Probabilistic methods, Model Adaptation and Personalization methods.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline 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.

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.

Annual Salary Range for jobs which could be performed in US, Colorado:
$52,000.00-$147,000.00

Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.