Software Engineer / Research Scientist Student Interns

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.

Job Detail

Job Opening ID

254611

Working Title

Software Engineer / Research Scientist Student Interns

Job Title

RESEARCH ASST I (TEMP)

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Onsite

Full/Part Time

Full-Time

Regular/Temporary

Temporary

FLSA Status

Nonexempt

Organizational Group

College Of Lsa

Department

LSA Linguistics

Posting Begin/End Date

9/17/2024 -

Career Interest

Temporary Job Opening