Brainco
Machine Learning Engineer, Applied AI
New York City, NY. Posted a month ago
The role
You will turn ambiguous problems into shipped AI systems and own AI systems end-to-end. You will work on composite AI systems, document understanding, and agents that learn from real work.
What you will do
- Turn ambiguity into shipped systems
- Own AI systems end-to-end from training to production behavior
- Work at the research frontier applying LLMs, RL fine-tuning, and agentic systems
- Work directly with institutions to understand how decisions are made
- Engineer for production reality including accuracy, latency, cost, and reliability
- Raise the bar through design reviews and internal paper club
Required qualifications
- Understand how machine learning works including loss functions, generalization, and distribution shift
- Experience with prompting, fine-tuning, tool use, and reasoning for LLMs and agentic systems
- Ability to build models for dense, multimodal documents
- Ability to design data, evals, and training loops for agents
- Ability to build eval suites and failure-mode taxonomies
Benefits
- Meaningful equity
- Country-specific benefits
About the company
Brain Co. builds AI-native operating systems for large, regulated institutions. Their platform, Atlas, is powered by agents that push real workflows forward.