Research Scientist Intern, Multimodal Behavioral Modeling, Hearing Science (PhD)

Meta; Redmond (WA); On-site; USD 35,000 - 55,000; Part time

Job summary

Meta Reality Labs seeks a Research Scientist Intern focused on Multimodal Behavioral Modeling and Hearing Science in Redmond, WA. The role involves modeling listening and communication states from wearable multimodal data, with projects tailored to applicant skills and ongoing research needs.

Applicants should have a strong ML background and knowledge of hearing science or cognitive neuroscience. Internships run 12–24 weeks with flexible start dates throughout the year.

Qualifications

• Strong quantitative and machine learning skills.
• Background in hearing science or auditory neuroscience.
• Experience with multimodal data analysis and modeling.

Responsibilities

• Model how people listen and communicate using multimodal data.
• Design and execute research projects aligned with current needs.
• Collaborate with Reality Labs researchers to advance audio technologies.

Skills

Machine learning

Multimodal data

Hearing science

Cognitive neuroscience

Education

PhD in ML, CS, hearing science, or related

Job description

# Research Scientist Intern, Multimodal Behavioral Modeling, Hearing Science (PhD)Redmond, WA Research+ 1 moreApply nowThe Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today.In particular, the Meta Reality Labs Research Audio team works on technologies that help people hear and communicate better in everyday life, from spatial audio to hearing assistance on AI glasses. Recent work includes Conversation Focus, which helps people hear the person they're talking to in noisy environments. As wearable devices become part of daily life, understanding how people actually listen, attend, and communicate in real-world settings is central to building audio experiences that adapt to each person.We are looking for interns who want to model how people listen and communicate in the real world. Using multimodal, egocentric data from wearable devices (eye and head movement, speech and vocal behavior, gesture, and the acoustic scene), the intern will build models that infer listening and communication states such as auditory attention, listening effort, and conversational engagement. Ground truth for these states is often sparse or ambiguous. The goal is to inform hearing assistance and audio technologies that adapt to the listener.The role suits candidates with a background in machine learning, computer science, hearing science, or auditory or cognitive neuroscience, who want to work at the intersection of those fields. Successful candidates will combine strong quantitative and machine learning skills with an understanding of human hearing and communication. Specific projects will be designed with successful applicants to match their skills and experience to current research needs.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.