Staff Machine Learning Engineer, AI Research

Cribl

H1B ✓RemotestaffPosted May 5, 2026

About the Role

Design, train, and evaluate ML models for AI-enabled Security/Observability platforms, translate cutting-edge academic advances into production-ready systems, build and maintain robust ML pipelines, and optimize model performance.

Requirements

Requires a Bachelor's degree (Master's/PhD a plus) with 5+ years of industry or research experience, deep hands-on experience training and evaluating ML models (including language models), strong proficiency in Python and ML frameworks (PyTorch/TensorFlow), and familiarity with MLOps tooling.

Full Job Description

<div class="content-intro">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.</div><h2>Why You'll Love This Role</h2> 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... <ul> <li style="font-size: 10pt;">Design, train, and evaluate machine learning models across a range of research and applied AI initiatives</li> <li style="font-size: 10pt;">Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements</li> <li style="font-size: 10pt;">Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems</li> <li style="font-size: 10pt;">Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation</li> <li style="font-size: 10pt;">Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation</li> <li style="font-size: 10pt;">Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team</li> <li style="font-size: 10pt;">Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them</li> <li style="font-size: 10pt;">This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones</li> </ul> If You've Got It - We Want It <ul> <li style="font-size: 10pt;">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)</li> <li style="font-size: 10pt;">Deep hands-on experience training and evaluating ML models, including language models</li> <li style="font-size: 10pt;">Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow</li> <li style="font-size: 10pt;">Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)</li> <li style="font-size: 10pt;">Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques</li> <li style="font-size: 10pt;">Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize</li> <li style="font-size: 10pt;">Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders</li> </ul> Salary Range ($230,000 - $275,000) The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus. #LI-JB1 #LI-Remote<div class="content-conclusion">Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at <a href="https://cribl.io/about-us/">cribl.io/about-us</a>. </div>

Staff Machine Learning Engineer, AI Research

About the Role

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