Cribl

Sr Machine Learning Engineer, AI Research

San Francisco, CA, US$185,000-$215,000Posted 1 month ago

Job Description

Join the company that's building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what's next.

We're one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we're remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems. You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.

On top of it all you will have fun.

Cribl strives to be a great place to work for everyone.

As An Active Member Of Our Team, You Will...

  • 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, a...

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