brainco - Machine Learning Engineer, Applied AI
Requirements
• You understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. And you live at the bleeding edge of modern AI, with hard-won instincts for squeezing the most out of LLMs and agentic systems — prompting, fine-tuning, tool use, and reasoning. That combination is the job: you know when a fine-tuned segmentation model beats a VLM, when a rule engine beats both, and how to compose all three into a system more accurate than any single model. You treat frontier models as components to be measured, pushed, and engineered — never as magic. • Most of all, you're energized by building things that have never existed, and comfortable when the problem, the data, and the definition of success all have to be invented at once. • The Problems You'll Work On • Composite AI systems and credit assignment. Our most demanding systems chain vision transformers, segmentation models, VLM reasoning, and rule engines. When the pipeline is wrong, which component failed? One of the most interesting open problems in applied ML. • Document understanding beyond the frontier. Blueprints, site plans, policy stacks, contracts, clinical records — dense, multimodal documents that break off-the-shelf models. You'll build models that actually read them. • Agents that learn from real work. Our deployments generate verified, ground-truth outcomes on every decision — reward signals most labs can only simulate. You'll help design the data, evals, and training loops to build and fine-tune agents on them. • Evaluation as a product discipline. When a regulator has to trust your system, evals are the product. You'll build eval suites and failure-mode taxonomies rigorous enough to earn institutional sign-off. • Institutional Intelligence that compounds. Every verified correction improves the system twice: the corrected fact percolates to every application, and the system that builds the intelligence learns to build it better. You'll work on both loops.
Responsibilities
• Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals. • Optimize and Scale: 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. • Make a Difference: 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. Your work will directly impact how AI benefits individuals, businesses, and society at large. • Engage with Leaders: 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. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills. • Learn and Lead: 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/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. • Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG. • Have at least a high level familiarity with the architecture and operation of large language models. • 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
• Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. • You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. • As an AI/ML Engineer, Deployed 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. • Paid Maternity and Paternity Leave • Ship quickly, iterate constantly and see your work deployed at global scale • Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more • Accelerate your career with ownership based on impact, not tenure • Earn competitive compensation + meaningful equity in a high-growth company • Thrive in a culture built on speed, curiosity, and impact • If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
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