Staff Machine Learning Engineer - AI Researcher (Remote)

About the Role

Join Cribl as a Staff Machine Learning Engineer, a pivotal role that allows you to work remotely while driving innovation in AI research. At Cribl, we are a rapidly growing, remote-first company specializing in data solutions for IT and Security. Our focus on customer satisfaction and collaborative work culture empowers employees to excel in their roles while enjoying the journey. Trusted by major players in demanding industries, Cribl is dedicated to solving complex data challenges and is expanding its EMEA business.

What You'll Do

• Collaborate closely with the founding team and highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms.
• Integrate cutting-edge AI/ML technologies into the Cribl Product suite to address real customer problems.
• Design, train, and evaluate machine learning models across various research and applied AI initiatives.
• Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements.
• 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; track results, document findings, and share learnings with the broader team.
• Stay current with the latest developments in ML and AI research, proactively identifying opportunities to apply them.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 5+ 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; knowing 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.

What We Offer

• Competitive salary based on geographic location.
• Generous benefits package including health, dental, vision, short-term disability, and life insurance.
• Paid holidays and paid time off.
• Fertility treatment benefit.
• 401(k) plan.
• Equity opportunities.
• Eligibility for a discretionary company-wide bonus.