What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.
Position Summary: In this position, you will assist with design and implementation of deepfake video detection algorithms.
- Enrolled in a degree granting program.
- Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community.
- You will be subject to a background check and
- You must be eligible to work in the United States without Visa sponsorship.
- Must be available for at least 6 hours per week (on average)
Knowledge, Skills and Abilities:
- Python, git, unix commands
- Tensorflow, pytorch
- Solid understanding of machine learning fundamentals
- Ability to build reproduceable analysis pipelines for multimodal data
- Clear written communication
- Data analysis consulting
- Computer vision projects
Job Function Breakdown:
100% Collaboratively coding and problem-solving
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.