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Machine Learning Engineer Intern–Summer ’25

Position Title: Machine Learning Engineer Intern–Summer ’25
Location: Remote (U.S. Only)
Internship Duration: 12 Weeks (Summer 2025)
Compensation: Paid Internship
Company: Sphere Inc.

About Sphere:
Sphere Inc. is a deep tech company transforming how governments, NGOs, and enterprises manage complexity with AI-powered compliance, governance, and operations solutions. Our proprietary platform fuses secure infrastructure with your enterprise data and choice of AI models to deliver turn-key solutions that power intelligent automation, decision-making, and innovation.

Position Summary
Sphere is looking for a highly motivated Machine Learning Engineering Intern to join our collaborative and fast-paced Engineering team during Summer 2025. This is a 12-week, full-time paid internship designed for aspiring machine learning engineers passionate about building next-gen AI systems that solve real-world challenges. You’ll gain hands-on experience developing production-grade tools and agents using modern LLM frameworks—all within a team that thrives on pushing the boundaries of applied AI.

Key Responsibilities

  • Collaborate on cross-functional engineering projects focused on building and deploying intelligent AI agents.
  • Contribute to the development of core machine learning pipelines, including bug fixes, model tuning, and feature enhancements.
  • Work with cutting-edge AI development tools like Cursor, Co-pilot, and Claude AI to optimize code and accelerate engineering workflows.
  • Participate in design reviews, standups, and learning sessions alongside senior engineers and data scientists.
  • Produce clean, maintainable, and well-documented code that contributes to the broader platform’s functionality.

Qualifications

  • Must be currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline.
  • Completion of foundational coursework in Data Structures, Algorithms, and Machine Learning required.
  • Proficiency in Python with hands-on exposure to machine learning libraries and frameworks.
  • Familiarity with AI/ML coding assistants and productivity tools like Cursor, Co-pilot, and Claude AI.
  • Strong analytical mindset with an ability to debug, iterate, and solve real engineering problems.
  • Excellent time management and communication skills; self-starter with a collaborative attitude.
  • Must reside in the continental United States and be authorized to work in the U.S.

How to Apply
If you’re ready to build the future of AI at the edge of innovation, we’d love to hear from you. Please send your resume and a brief statement of interest to info@sphereholdings.co.