AI ML Engineering Internship Summer 2026

📋 Description

• • Join Brain Co. as an AI ML Engineering Intern for Summer 2026 and become an integral part of a groundbreaking applied AI startup. Founded by visionary leaders Elad Gil and Jared Kushner, and backed by an unparalleled roster of Silicon Valley's most influential figures including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity), Brain Co. is at the forefront of developing AI platforms and applications that deliver tangible impact on the world's most complex and critical challenges. We are not just building AI; we are deploying it to solve real-world problems across vital sectors like healthcare, government, and energy, demonstrating significant value and efficiency gains. Our track record speaks for itself: we've automated construction permitting for a sovereign government, achieving an 80% acceleration and unlocking $375 million in value; optimized supply chains for a global energy leader, resulting in a 30% cost reduction and 99% reliability, preventing $100 million in losses; and streamlined hospital patient care across national health systems, leading to 40% better outcomes and an 80% reduction in administrative work. We have successfully raised a $30 million Series A from top-tier investors and assembled a formidable team of 40 AI experts from leading organizations such as Tesla, Google DeepMind, NVIDIA, and Databricks.
• • As an AI ML Engineer Intern, you will immerse yourself in the dynamic environment of a fast-growing startup, contributing directly to real production systems that operate at a global scale. This internship is meticulously designed for current undergraduate students, specifically sophomores and juniors, who are eager to gain hands-on experience applying cutting-edge AI techniques, with a particular emphasis on large language models (LLMs), to address pressing real-world challenges. You will gain invaluable exposure to the entire machine learning lifecycle, from ideation and data preparation to model deployment and monitoring, all while receiving dedicated mentorship and taking ownership of meaningful projects. Your responsibilities will include assisting in the design and deployment of innovative LLM-powered applications aimed at automating complex, real-world workflows. You will play a crucial role in building and enhancing robust data pipelines, supporting critical model training, evaluation, and optimization processes. Working with diverse datasets, encompassing both structured and unstructured information such as text, documents, and logs, will be a key aspect of your role. You will also contribute to preparing models and systems for seamless production deployment and ongoing monitoring, ensuring their reliability and performance. Collaboration is at the heart of our approach; you will work closely with senior engineers, AI researchers, and product teams, fostering a synergistic environment for innovation. You will learn and internalize best practices through rigorous code reviews, insightful design discussions, and direct, hands-on mentorship from industry leaders. Furthermore, you will gain critical exposure to customer-facing requirements and the unique constraints of real-world applications, including the complexities of working with public-sector institutions. This internship offers a unique opportunity to bridge the gap between academic learning and practical, high-impact AI engineering.
• • We are looking for individuals who are currently pursuing an undergraduate degree, particularly sophomores and juniors, with a strong academic background in Computer Science, Machine Learning, Data Science, or a closely related field. Essential to this role is proven programming experience in Python and a solid foundation in machine learning or AI concepts, demonstrated through coursework or personal projects. While not mandatory, exposure to or a keen interest in large language models and Generative AI applications, such as agents, Retrieval-Augmented Generation (RAG), and complex reasoning workflows, would be highly advantageous. Familiarity with or a strong desire to learn frameworks like PyTorch, JAX, or TensorFlow is expected. You should possess strong fundamental knowledge of data structures and algorithms. Above all, we seek candidates who are inherently curious, proactive, and possess an exceptional ability to learn quickly in a fast-paced, demanding environment. The ideal intern thrives on owning problems end-to-end, demonstrating initiative while also being receptive to guidance and support.
• • Internship Details & Benefits:
• • 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)
• • Why Intern at Brain Co.?
• • Work on AI systems that have real-world impact, not just theoretical exercises.
• • Learn directly from engineers and leaders with distinguished backgrounds at Tesla, DeepMind, Databricks, and more.
• • Build practical, in-demand experience with state-of-the-art AI and LLMs.
• • Take ownership of projects early and experience rapid professional growth in a high-impact environment.
• • Be an integral part of a culture defined by speed, intellectual curiosity, and a strong sense of responsibility.
• • If you are a current sophomore or junior eager to apply AI to meaningful problems at a global scale, Brain Co. offers an unparalleled platform to learn, build, and make a significant impact.