SKILLBRIDGE.MIL DATALAST SYNC 2026-07-23
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Programs / Charles Stark Draper Laboratory
In official directorySynced 2026-07-23

Charles Stark Draper Laboratory SkillBridge Program

USAFUSAUSCGUSMCUSNUSSF
Program summary

The Machine Learning Engineer designs and implements machine learning (ML), artificial intelligence (AI), and data science tools to projects spanning various domains. Works on exciting, diverse, cutting-edge R&D projects in a wide range of fields including data-intelligence, generative AI, predictive maintenance, bioinformatics, and more. We are seeking a SkillBridge Intern with the Department of Defense (DoD) to work within the Machine Intelligence group.

Roles & job description

Designs and develops AI models to meet project requirements.• Analyzes and improves AI model performance.• Applies ML and deep learning technologies to give computers the capability to visualize, learn, and respond to complex situations.• Collaborates across departments and with customers to define requirements and understand business problems.• Seeks out opportunities to learn new technical skills.• Reviews task-level requirements and assumptions and works to solve well-defined problems with guidance. • May perform independent and team based research with guidance. • Asks for help when needed and seeks out resources for solving problems. Delivers on commitments and clearly communicates any challenges.• Desire to learn about customer missions.• Works to improve operations at the task / individual contributor level. Identifies areas for improvement and brings them to the attention of task or group leadership.• Performs other duties as assigned.

Target military occupations

Open to all MOS / ratings / AFSCs.

Additional notes

Onsite opportunity for engineers

Candidate reviews

No reviews yet. Reviews unlock for candidates 30 days after adding this program to their tracker — integrity over volume.

Interview prep for this program
Ask them
  • ▸ "How many of your past SkillBridge interns received full-time offers?" — a serious program knows the number.
  • ▸ "Who will my day-to-day mentor be, and what does week one look like?"
  • ▸ "The listing says 151 - 180 days — can that flex to my approved window if my command shortens it?"
  • ▸ "Is relocation expected for a full-time offer, or can I convert where I am?"
Bring to the conversation
  • ✓ Your projected start window and separation date (from your profile)
  • ✓ Your command's approval status — even "packet drafted" signals you're serious
  • ✓ Your civilian-translated resume bullets (generate them here)
  • ✓ A written training-plan ask — you'll need it for your packet anyway
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