Software Engineer / Research Scientist Student Interns

University of Michigan•Ann Arbor, MI

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Resume (1 page max): Highlight relevant experience and skills in computer science, engineering, and mathematics
Hands-on experience with the latest NLP and ASR technologies
Access to powerful computers, including GPU hours in the Great Lakes High-Performance Computing (HPC) cluster
Access to popular datasets like TIMIT and Librispeech
Access to the labs data storage space
We welcome University of Michigan undergraduate or graduate students from any major (like computer science, linguistics, engineering, mathematics, cognitive science, etc.)
You should know how to code in Python
You should be familiar with machine learning techniques (like Transformers, LSTM)
You should be able to explain your ideas clearly and work well with others (see Amazon Leadership Principles for a specific guide)

Task: Build a basic speech-to-text system from scratch (without external libraries for ASR such as Speech Recognition, google-speech, etc.). Your system should:
Preprocess audio and extract features (e.g., MFCCs, or using a method like Wav2Vec)
Implement a simple recognition method (e.g., HMM, or any end-to-end approach)
Evaluate performance on a small dataset
Ideal Submission: A clean, short, and well-documented GitHub repository with a brief README.md explaining your approach
This role offers a unique opportunity to gain hands-on experience with cutting-edge machine learning and natural language processing (NLP) technologies
Student interns will engage in various coding tasks and contribute to the development and refinement of state-of-the-art models
Hours: estimated 10 hours per week, with flexibility depending on the project and your schedule
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department

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