How to Apply

1. Resume (1 page max): Highlight relevant experience and skills in computer science, engineering, and mathematics.
2. 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 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.
  • 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.

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