layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing) at Microsoft

We are looking for some combination of the following qualifications (please address these in your cover letter):
2+ years of research experience using human-centered approaches in HCI, HRI, Machine Learning (ML), Computer Vision (CV), Ubiquitous Computing, or Affective Computing.
Experience writing peer-reviewed publications.
Experience with generative AI techniques, ML frameworks (e.g., PyTorch), and real-time interactive systems.
Proficient collaboration and communication skills.
Conducting human-subjects research.
Experience implementing research prototypes (frontend, backend, or both).
Using human-centered design & research methods.
Familiarity with reinforcement learning or time-series signal processing.
Working with large datasets (e.g., text, vision, physiology, behavioral).
Affective and Social Computing sub-area: Background in affective computing, behavioral, or physiological sensing.
Experience collecting data with wearable devices.
Hardware prototyping or wearable device experience.
Healthcare/wellbeing experience - e.g., pain assessment and modeling (nociceptive signals, stress/anxiety detection), or collaboration with clinical partners.
Olfaction & gas sensing - e.g., experience with electronic noses, breath analysis, or volatile organic compound sensing.
Situated Interaction sub-area: Demonstrated experience in programming multimodal systems that interact with real human users, e.g., robots or virtual agents, particularly by integrating multiple machine-learned components such as computer vision, speech recognition, dialogue handling, natural language generation, etc.
Demonstrated experience in conducting research outside of a controlled lab environment, e.g., field research, ethnography, in-the-wild studies, etc.
Conversational AI Agents sub-area: Experience prototyping real-time conversational AI agents using tools such as the OpenAI Realtime API, including function calling, and supporting interactions via text, voice, and other interfaces.
Designed, implemented, and evaluated different personality styles for AI agents, varying factors such as communication style, voice characteristics, and emotional tone to study their impact on user experience, engagement, and trust.
Incorporated multimodal sensory inputs (e.g., text, audio, contextual signals) to enhance interaction quality and make agent responses more adaptive and context aware.
Ubiquitous Computing and Ambient Intelligence sub-area: Leveraging the latest in AI techniques to perform sensing in the real world
Working with multimodal AI models

Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing)

Employer job description

Our group’s research spans several sub-areas:

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Equal opportunity and accommodations

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