AI/ML Engineering Intern Job at Brain Co. (San Francisco Bay Area)

AI/ML Engineering Intern

Brain Co.

Location:
United States , San Francisco Bay Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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)

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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