AIML - Applied ML Research Scientist, Accessibility

Our work has resulted in numerous award-winning research publications and groundbreaking technologies impacting millions of people.

The Accessibility team within HCMI specifically focuses on core ML technologies that address grand challenges in accessibility, including equitable speech access to people with disabilities, visual understanding for people who are blind or low vision, communication access for people who use sign language, and more.

","responsibilities":"Developing new ML modeling approaches around vision, time-series, or multimodal ML.

Advancing the state of the art on Accessibility-related problems.

Designing and analyzing experiments to evaluate machine learning modeling approaches.

Working with partner teams to integrate machine learning approaches into human-centered applications.

Evaluating ML-powered applications using human-centered methods.

Creating human-centered machine learning contributions to be shared internally and/or externally (e.g., in ML and human-computer interaction venues).

Preferred Qualifications

Experience designing machine learning models for sign language.

Experience conducting research in Accessibility (e.g., sign language, atypical speech, visual accessibility, or other topics).

Experience doing data collection or data curation (e.g., developing data or annotation protocols).

Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies).

Experience developing and shipping products that use machine learning.

Strong writing and presentation skills.

Minimum Qualifications

PhD in Machine Learning, Human Computer Interaction, Computer Science, or related field.

Experienced researcher in areas of machine learning, including computer vision or multi-modal modeling.

Publication and research record commensurate with seniority.

Proven history of turning research contributions into tools, guidelines, or products either commercially or as open source, or strong potential to do so.

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