Senior Machine Learning Engineer (AI Research)

Role overview

Join Cribl as a Senior Machine Learning Engineer (AI Research) working with the founding team and experienced engineers to integrate modern AI/ML into Cribl’s product suite. You’ll design, train, evaluate models, and build production-ready ML systems and pipelines.

Key missions

• Design, train, and evaluate machine learning models across research and applied AI initiatives.
• Collaborate with researchers and engineers to translate academic advances into practical, production-ready systems.
• Build and maintain robust ML pipelines for:
  • data ingestion
  • feature engineering
  • model training
  • evaluation

Requirements

• Deep hands-on experience training and evaluating ML models, including language models.
• Familiarity with MLOps tooling and infrastructure, e.g. MLflow, Weights & Biases, Kubeflow (or similar).
• Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow.
• Excellent communication skills; able to clearly present results to technical and non-technical stakeholders.
• B.S. in Computer Science, Mathematics, Statistics, or related field, with 4+ years industry or research experience (Master’s or PhD a plus).
• Ability to move quickly while maintaining rigor (knowing when to prototype vs. productionize).
• Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques.

Nice to have

• M.Sc. or Ph.D.
• Strong breadth across NLP + computer vision and/or reinforcement learning.