Sr Machine Learning Engineer, AI Research
Core
Design, train, and evaluate machine learning models to integrate cutting-edge AI/ML technologies into the Cribl Product suite for AI-enabled Security/Observability platforms.
Role type
Senior IC machine learning engineer (AI research & applied)
Builds
Production-ready AI/ML systems and features for telemetry infrastructure
Domain
AI/ML, Security, Observability, Telemetry
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, MLOps tooling, NLP, computer vision, reinforcement learning, model training and evaluation, hyperparameter search, architecture experimentation
Preferred skills
Master's or PhD in CS/Math/Statistics, experience with language models
Technologies
MLflow, Weights & Biases, Kubeflow
Responsibilities
Design, train, and evaluate ML models across research and applied AI initiatives; Run rapid, iterative experiments to test hypotheses and surface insights; Collaborate with researchers and engineers to translate academic advances into production systems; Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation; Optimize model performance through fine-tuning and architecture experimentation; Contribute to a culture of rigorous experimentation by tracking results and documenting findings
Seniority
Senior, hands-on IC
