AI/ML Engineer, 2027 New Grad

As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.

Responsibilities

Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals; Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production; Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide; Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems; Interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions; Keep abreast of the latest developments in machine learning and AI; Participate in code reviews, share knowledge, and set an example with high-quality engineering practices

Requirements

Expect to complete a bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027; Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated; Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow; Possess a strong foundation in data structures, algorithms, and software engineering principles; Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges; Can work collaboratively with cross-functional teams; Thrive in fast-paced environments where priorities or deadlines may compete; Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done

Benefits

Competitive full-time compensation and benefits; Support and feedback from experienced platform engineers; Opportunity to work on real production systems used globally; Meaningful ownership from day one, with room to grow alongside the team; Daily lunches (if onsite); Meaningful equity; Country-specific benefits