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How to ApplyResume (1 page max): Highlight relevant experience and skills in computer science, engineering, and mathematics.Optional GitHub Submission: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. Include a link to your repository with your application.Include link to submission within the body of the resume
 

Shortlisted candidates will receive an email with details about the next steps in the application process.
 

Job Summary

Department: LSA Linguistics
Institution: University of Michigan, Ann Arbor

Job Description: We are seeking motivated University of Michigan student interns to support research projects focused on language models and automatic speech recognition (ASR). 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.

What You'll Get:

Hands-on experience with the latest NLP and ASR technologiesAccess 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.Strong recommendation letter for the application of any positions Salary: $20-$25 / hour, depending on skill level
 Required Qualifications*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).
 Desired Qualifications*Coursework or projects related to ASR, NLP, or general machine learning, including online courses like Coursera.Experience using deep learning tools like PyTorch or TensorFlow.Experience building websites.
 Work Schedule

Hours: estimated 10 hours per week, with flexibility depending on the project and your schedule.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Application Deadline

Applications are reviewed on a rolling basis until filled.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.