
Internships at Mobius Logic
Our internship programs are designed to provide students and recent graduates with hands-on experience in various aspects of the company, but mainly in the Artificial Intelligence (AI) and Machine Learning (ML) industry. Our program offers interns the opportunity to engage in real-world projects, learn from experienced professionals, and gain valuable technical and soft skills that are essential for building a successful career in AI/ML.

About Our Program
Interns will engage in coding, troubleshooting, system testing, documentation, and collaborating on innovative projects. All our internship programs will aim to bridge the gap between academic learning and practical experience by immersing interns in a dynamic work environment where they can apply their technical skills, tackle complex problems, and enhance their understanding of industry tools and practices.
Hands-on Exposure to tools, technologies, and processes used in the Industry.
Guidance from experienced professionals to help interns improve their technical and inter personal skills.
Interns gain a competitive advantage by developing critical skills and showcasing their abilities in a professional setting.

Internship Opportunities
Future AI Programmer - Internship 2026
Remote
Part-Time
Mobius Logic, Inc. is offering a fully remote 12-week summer internship for Future AI Programmers, starting mid-May 2026 and targeting motivated first or second-year undergraduate students in Computer Science, Engineering, Mathematics, Data Science, or related fields. Interns will learn fundamental coding skills and IDE usage while focusing on one of three specialized areas: Reinforcement Learning, Robotics, or Multi-agent AI Training. The program includes completing a supervised research project under senior researchers, participating in weekly research meetings with active projects, collaborating with experienced professionals, and engaging in academic activities like reading and presenting papers with a final presentation at the internship's conclusion. Candidates must be U.S. citizens, demonstrate curiosity and eagerness to learn, and have familiarity with at least one coding language.
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