ML Intern: Counter-Autonomy & Security Systems

Sandia National Laboratories

Albuquerque (NM)

On-site

USD 2,066,000 - 2,755,000

Part time

4 days ago
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Job summary

Sandia National Laboratories is hiring a Technical High School Intern for a year-round position in the Counter-Autonomy and Intrusion Detection department. The role involves algorithm development, programming, data collection, labeling, and data curation for ML projects, with mentorship across physical security, computer science, robotics, and data science.

You'll work on multiple projects, learn software development basics, and contribute to data stacks while gaining hands-on experience in a

Qualifications

  • Attending a local high school
  • Enrolled full time as defined by the school
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 25 hours per week during the school year and up to 40 hours during the summer
  • Minimum 16 years of age
  • U.S. citizens, legal permanent residents, asylees or refugees in the U.S.

Responsibilities

  • Perform entry-level work within a mentored R&D and engineering environment
  • Support projects in fundamentals of science and engineering applied to physical security
  • Assist in applying engineering principles to develop or demonstrate new designs or systems
  • Learn fundamentals of computer science, programming, and machine learning
  • Assist in maintaining and debugging multi-language software projects and Git repositories
  • Learn machine learning concepts and assist in developing training data for ML models
  • Write summaries of work and present findings to the mentor

Skills

Team collaboration
Willingness to learn
Strong problem solving

Education

High school student

Tools

Python
Git
Matlab
C/C++ basics

Job description

Sandia National Laboratories is hiring a Technical High School Intern for a year-round position in the Counter-Autonomy and Intrusion Detection department. The role involves algorithm development, programming, data collection, labeling, and data curation for ML projects, with mentorship across physical security, computer science, robotics, and data science.

You'll work on multiple projects, learn software development basics, and contribute to data stacks while gaining hands-on experience in a

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