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# Sr Machine Learning Engineer, AI Research

- **Company:** Cribl, Inc.
- **Location:** Lansing, MI, United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Reinforcement Learning, Feature Engineering, Data Ingestion, Pytorch, Kubernetes, Information Technology, Machine Learning Operations
- **Published:** July 16, 2026
- **Apply:** https://www.jofdav.com/jobs/58861426-sr-machine-learning-engineer-ai-research

## About the Role

* Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of industry or research experience (Master's or PhD a plus)
 * Deep hands-on experience training and evaluating ML models, including language models
 * Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
 * Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
 * Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
 * Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize
 * Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders

#LI-JB1
#LI-Remote

## Description

* Design, train, and evaluate machine learning models across a range of research and applied AI initiatives
 * Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
 * Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems
 * Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
 * Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
 * Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
 * Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them
 * This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones


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