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Brain Co. Logo Brain Co. · IT - Software Development

AI/ML Engineering Intern

United States, San Francisco Bay Area · Job Posted February 18, 2026
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Job Description

As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy. This internship is designed for current undergraduate students (sophomores and juniors) who want hands-on experience applying modern AI techniques—especially large language models—to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects.

Job Responsibility

  • Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
  • Build and improve data pipelines and support model training, evaluation, and optimization
  • Work with structured and unstructured data (e.g., text, documents, logs)
  • Help prepare models and systems for production deployment and monitoring
  • Collaborate closely with senior engineers, AI researchers, and product teams
  • Learn best practices through code reviews, design discussions, and hands-on mentorship
  • Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions

Requirements

  • Current undergraduate student, specifically a sophomore or junior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
  • Experience programming in Python
  • Coursework or project experience in machine learning or AI
  • Exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)
  • Used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow
  • Strong fundamentals in data structures and algorithms
  • Curious, proactive, and excited to learn quickly in a fast-paced environment
  • Enjoy owning problems end-to-end with guidance and support

What we offer

  • Competitive internship compensation
  • Hands-on mentorship from experienced AI engineers and researchers
  • Opportunity to work on real production systems used globally
  • Potential return-offer consideration for future internships or full-time roles
  • Daily lunches (if onsite)
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