About the role

ML Engineer on the Alerts Team developing AI for crisis intelligence. Building and maintaining ML models in a dynamic environment.

Responsibilities

Model Development & Fine Tuning: Design, build, and deploy ML models across the full lifecycle
Fine-tune and adapt LLMs using domain-specific alert data
Upgrade models to newer versions
Work hands-on with Python ML libraries such as PyTorch, TensorFlow, Hugging Face, and XGBoost
Collaborate with data and engineering teams to build scalable ML pipelines
AI Agent Development & LLM Orchestration: Design and implement AI agents
Integrate with OpenAI and Anthropic APIs
Ensure agent workflows are observable, testable, and fault-tolerant in production
Monitor and report on model performance, drift, and inference latency in production
Technical Excellence: Set the bar for code and model quality through rigorous review of code, experiments, and evaluation results.

2+ years of professional experience in a machine learning or applied ML engineering role
Familiarity with NLP, text classification, or information retrieval (a strong asset given our domain)
Comfort working with large, noisy, real-world datasets
Demonstrated experience building and operating AI agents or LLM-powered systems in production
Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
Experience evaluating the outputs of ML components (ie precision and recall).