machine learning engineer for regulated institutions

Brain Co. builds AI-native operating systems for large, regulated institutions. Its industry-specific systems are powered by agents that advance real workflows, while Atlas, its proprietary platform, keeps customers in control, secure by design, and independent of any single model.

• Design and deploy advanced LLM models to automate complex manual processes across real-world industry verticals;
• Build scalable data pipelines and optimize models for performance and accuracy;
• Prepare models for production, monitor them, and maintain their value across governments worldwide;
• Optimize advanced energy production systems, modernize core government workflows, and improve patient outcomes in public healthcare systems;
• Interact directly with government officials in various countries and apply AI solutions to complex business challenges;
• Work alongside founders, AI researchers, and software engineers to deliver AI-powered solutions;
• Contribute across software building, product management, sales, and interpersonal work;
• 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.

• Hold a BSc, Master’s, or PhD degree in Computer Science, Machine Learning, Data Science, or a related field;
• Have impactful industry experience building GenAI-focused applications with technologies including Agents, reasoning models, and RAG;
• Have high-level familiarity with the architecture and operation of large language models;
• Have personally implemented models in PyTorch, Jax, or TensorFlow;
• Have a strong foundation in data structures, algorithms, and software engineering principles;
• Exhibit excellent problem-solving and analytical skills with a proactive approach to challenges;
• Work collaboratively with cross-functional teams;
• Thrive in fast-paced environments where priorities or deadlines may compete;
• Be eager to own problems end-to-end and acquire necessary knowledge to get the job done.

• Competitive salary;
• Paid Maternity and Paternity Leave;
• Daily lunches;
• Commuter benefits;
• Unlimited PTO;
• Meaningful equity in a high-growth company.