Brain Co.
Machine Learning Engineer, Applied AI
New York City, NY · Full-time · Posted Sep 30, 2026
About the job
Build and deploy end-to-end machine-learning and agentic systems that automate institutional workflows, from defining ambiguous problems and evaluations through production operation.
What you'll do
- Develop and own production AI systems, including models, agents, and evaluation suites.
- Work with customers to understand institutional decisions and translate them into ML problems and deployments.
- Optimize systems for accuracy, latency, cost, and reliability; contribute to technical reviews and shared practices.
What they ask for
- Strong understanding of machine learning, including loss functions, generalization, distribution shift, and evaluation.
- Practical expertise with modern AI, including LLMs, prompting, fine-tuning, tool use, and reasoning.
- Ability to design and compose models, vision systems, and rule engines for complex tasks.
- Comfort working with ambiguous problems, data, and success criteria.
Tools
LLMs, VLM, vision transformers, segmentation models, rule engines, RL fine-tuning
AI focus
Applied AI for institutional workflows, including document understanding, agentic systems, model evaluation, and learning from verified production outcomes.
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