ML Engineer
Core
Build production-grade systems that deploy frontier research on simulating societal opinions and influence at scale for Fortune 500 clients.
Role type
Senior ML Engineer (Production & Inference)
Builds
Societal World Model simulations, data pipelines, and inference systems
Domain
Social simulation, behavioral science, large-scale ML
Deliverable
production ML models
Required skills
Deep learning, post-training and distillation, RL, fine-tuning, Python engineering, statistics, probability, high-dimensional spaces reasoning
Preferred skills
Distributed training, inference optimization, scaling ML systems, behavioral science background, TypeScript
Technologies
Python, RL, fine-tuning, distillation
Responsibilities
Post-train and distil models for nuanced and accurate simulations; own inference at scale to serve thousands of individuals efficiently; build data pipelines to turn real-world data into simulated populations; simplify complex methods to deliver reliable performance; take research prototypes to deployed capabilities.
Seniority
Senior, hands-on IC
