Machine Learning Engineer, Applied AI Intern (Summer 2027) at Brain Co. | CA, US | Rezi

Machine Learning Engineer, Applied AI Intern (Summer 2027) at Brain Co.

Machine Learning Engineer, Applied AI Intern (Summer 2027)

Brain Co. · CA, US

1 weeks ago

Machine Learning Engineer, Applied AI Intern (Summer 2027)

Brain Co. · CA, US

8 days ago
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About the Role

This internship is designed for current undergraduate students, specifically juniors and seniors graduating no later than June 2028, 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.

Responsibilities

  • 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 students, specifically juniors and seniors graduating no later than June 2028, 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 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

Skills

  • Python
  • Machine Learning
  • AI
  • Large Language Models
  • GenAI applications
  • Agents
  • RAG
  • Reasoning workflows
  • PyTorch
  • JAX
  • TensorFlow
  • Data structures
  • Algorithms

Work Type

  • Internship

Experience Level

  • Intern
  • Junior
  • Senior

Education Level

  • Undergraduate degree in Computer Science, Machine Learning, Data Science, or a related field

Salary/Compensations

  • Competitive internship compensation

Benefits

  • 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)

About the Company

  • Brain Co. builds AI-native operating systems for large, regulated institutions.
  • Each system is built for a specific industry, powered by agents that push real workflows forward.
  • Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
  • Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
  • Joining now means shaping both the company and a new category of applied AI.
  • Every project here ships to production and is expected to create measurable customer value and impact.
  • You'll work alongside exceptional peers on some of the hardest problems in applied AI.
  • It’s the kind of work you'll still be proud of in ten years from now.