AI/ML Engineer, 2027 New Grad

Brain Co.•San Francisco, CA

39d

About The Position

Brain Co. is hiring a 2027 new graduate Machine Learning Engineer to deploy state-of-the-art models that address real-world problems in sectors including healthcare, government, and energy. The role focuses on turning research breakthroughs into practical AI solutions and making the technology accessible and influential. The engineer will design and deploy advanced large language models to automate complex manual processes, build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. They will monitor and maintain deployed models and work on projects such as optimizing energy production systems, modernizing government workflows, and improving outcomes in public healthcare. The role also involves interacting directly with government officials in different countries and collaborating with experienced founders, AI researchers, and software engineers to understand business challenges and deliver AI-powered solutions. Engineers are expected to contribute across software development, product management, sales, and interpersonal work, while staying current with developments in machine learning and AI and participating in code reviews and knowledge sharing. New graduates contribute to production systems deployed globally and are given meaningful ownership from day one.

Requirements

Expect to complete a bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.
Hands-on experience building GenAI-focused applications, such as agents, reasoning workflows, or RAG.
Solid understanding of how large language models are architected and operated.
Personal experience implementing models using a common machine learning framework such as PyTorch, JAX, or TensorFlow.
Strong foundation in data structures, algorithms, and software engineering principles.
Excellent problem-solving and analytical skills, with a proactive approach to challenges.
Ability to collaborate with cross-functional teams.
Ability to thrive in fast-paced environments where priorities or deadlines may compete.
Willingness to own problems end-to-end and acquire the knowledge needed to complete the work.

Responsibilities

Design and deploy advanced LLM models to solve real-world problems and automate complex manual processes.
Build scalable data pipelines and optimize models for performance and accuracy.
Prepare models for production, then monitor and maintain them to ensure they continue delivering value.
Contribute to projects involving energy production, government workflows, and public healthcare systems.
Interact with government officials and collaborate with founders, AI researchers, and software engineers to understand challenges and deliver AI-powered solutions.
Contribute across software building, product management, sales, and interpersonal work as needed.
Keep abreast of developments in machine learning and AI.
Participate in code reviews, share knowledge, and model high-quality engineering practices.