2026 Machine Learning Engineering Grad Intern

The Aerospace Corporation

Chantilly, Virginia, United States
Hourly pyy basis; range: not specified; benefits: ...
100% onsite
Python proficiency with pytorch
Docker and kubernetes experience
Computer vision or nlp application design
The Aerospace Corporation is seeking a Machine Learning Engineering Grad Intern based in Chantilly, Virginia, to join their Data Science and Artificial Intelligence Department. The position is full-time and requires a Master's student in a related field, with a focus on machine learning and artificial intelligence technologies

Job Summary

  • The Aerospace Corporation is seeking a Machine Learning Engineering Intern to join the Data Science and Artificial Intelligence Department within the Information Systems and Cyber Division.
  • Interns will develop and execute machine learning experiments in domains such as natural language processing, computer vision, and reinforcement learning for mission-critical space applications.
  • The role offers a competitive compensation package, comprehensive health care, and professional growth programs while working onsite in Chantilly, VA.

Matching Summary

Match Score: 85

The Aerospace Corporation is seeking a Machine Learning Engineering Grad Intern based in Chantilly, Virginia, to join their Data Science and Artificial Intelligence Department. The position is full-time and requires a Master's student in a related field, with a focus on machine learning and artificial intelligence technologies.

Salary

Hourly pay basis; Range: Not specified; Benefits: Comprehensive health care, 401(k) match up to 12%, paid holidays

Skills & Requirements

Must-have

  • Python proficiency with PyTorch
  • Docker and Kubernetes experience
  • Computer vision or NLP application design
  • MLOps processes and MLFlow familiarity
  • GPU scaling with NVIDIA developer tools
  • Unix/Linux operating system experience

Nice-to-have

  • Active security clearance status
  • High Performance Computing hardware knowledge
  • CUDA programming and optimization skills
  • Slurm cluster job orchestration experience
  • Edge and embedded hardware ML solutions
  • Distributed big data frameworks like Spark

Key Requirements

  • Currently enrolled full-time Master's student
  • Minimum GPA of 3.0
  • Full-time availability for 10 weeks
  • U.S. citizenship required for security clearance
  • Transcripts required for verification

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter