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Machine Learning Developer Co-op (Fall 2025)

Global leader in digital investigative software development for acquiring, analyzing, and sharing evidence from digital devices.
Machine Learning
Software Engineering Intern
Hybrid
501 - 1,000 Employees
AI · Cybersecurity

Description For Machine Learning Developer Co-op (Fall 2025)

Magnet Forensics, a global leader in digital investigative software, is seeking a Machine Learning Developer Co-op for Fall 2025. This role is part of the Magnet Idea Lab team, which focuses on building innovative AI systems to support their growing product suite. As a co-op student, you'll be fully integrated into the software development team, working on production code and increasingly complex features. The position offers hands-on experience in AI/ML development while contributing to meaningful work in digital forensics and cybersecurity. The company serves over 4,000 customers in 100+ countries, helping investigators fight crime, protect assets, and guard national security. You'll join a collaborative environment with opportunities to work across different departments and make a real impact while learning from experienced professionals. The role combines technical challenges with purposeful work, making it an excellent opportunity for students passionate about AI and cybersecurity.

Last updated a day ago

Responsibilities For Machine Learning Developer Co-op (Fall 2025)

  • Integrate into software development team
  • Work on bugs and basic features
  • Write production code
  • Work on complex features as part of the team
  • Build AI systems to support Magnet's product suite
  • Collaborate with Product Management, Engineering, Marketing, and User Experience teams

Requirements For Machine Learning Developer Co-op (Fall 2025)

Python
  • Must be a student working towards a degree in Computer Science, Computer Engineering, Software Engineering or related discipline
  • Experience with Python, training AI/ML models
  • Familiar with libraries such as pytorch, pandas, scikit
  • Must be accountable and take ownership of projects
  • Ability to work in a collaborative environment

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