Professional Aide

Heard

AI is dedicated to making voice AI technology more inclusive and accessible for the millions of people worldwide with communication differences, including those who stutter. While voice AI is revolutionizing how people interact with technology, it often falls short for individuals with speech variations. Heard

AI aims to bridge this gap by creating equitable solutions that empower everyone to benefit from advancements in voice technology and AI.

This is a temporary or an on-call position. Provides professional support. Responsibilities may include general business, science, medical, agricultural or other professional support functions. Term:
Temps can work two (2) nine (9) month terms with a week break in service in between and at the end of the second term terminate for three (3) months or switch to an on‑call. On‑Call allowed to work 1039 hours in any twelve (12) month period.

Position is remote, but applicants must live in the state of Michigan

• Design, implement, and optimize deep learning pipelines for robust speech recognition and multimodal systems
• Build production‑grade APIs and deployment infrastructure (cloud and edge)
• Develop evaluation frameworks and testbeds for ASR accessibility
• Collaborate with a multidisciplinary research team to transition prototypes into production systems
• Contribute to research publications and presentations

• MS in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or related field (or equivalent industry experience).
• 3+ years production experience with speech/audio ML systems
• Expert‑level Python; strong PyTorch/Tensor Flow skills
• Demonstrated experience deploying ML models to production
• Proven track record of delivering reliable, scalable systems
• Strong software engineering practices (version control, testing, documentation)

• Research publications in speech/ML venues
• Experience with modern ASR architectures and streaming or real‑time systems
• Cloud deployment experience (AWS/Azure/GCP) and/or edge optimization
• Background in speech accessibility, fairness in ML, or assistive technologies
• Knowledge of speech differences (stuttering, dysarthria, accents)
• Open‑source contributions in speech/ML (please provide Git Hub link)

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

CV/resume, brief statement describing relevant experience and interest (1 page max), and link to Git Hub/portfolio or code samples

STANDARD 8-5

MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.