Machine Learning Engineer, Platform
Core
Build and own shared ML capabilities for document extraction, institutional intelligence, foundation models, and agentic systems to serve project pods and domain experts.
Role type
Senior IC machine learning engineer (platform)
Builds
Shared ML capabilities, composite AI systems, and continuous-improvement machinery for production institutional workflows
Domain
AI/ML platform engineering for institutional workflows
Deliverable
production ML models
Required skills
machine learning fundamentals, LLMs, fine-tuning, agentic systems, vision models, VLMs, rule engines, model routing, evaluation, component-level credit assignment
Preferred skills
platform-oriented judgment, ability to work with ambiguous problems and evolving data
Technologies
LLMs, VLMs, rule engines, foundation models
Responsibilities
Turn urgent project-pod needs into reusable platform capabilities; Develop LLM and agentic-system capabilities; Engineer composite AI systems combining vision models and rule engines; Build continuous-improvement machinery for production corrections and retraining; Balance accuracy, latency, cost, and reliability across production environments
