Staff Machine Learning Engineer, AI Researcher at Cribl

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

275000.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Model Training, AI Initiatives, Iterative Experimentation, ML Pipelines, Model Optimization, PyTorch, TensorFlow, MLOps Tooling, NLP, Computer Vision, Reinforcement Learning, Python, Experimentation Rigor, Communication

Industry

Software Development

Description

Cribl does differently. What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity. 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, 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 If You've Got It - We Want It 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; 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 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 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 cribl.io/about-us.

Responsibilities

The role involves designing, training, and evaluating machine learning models for research and applied AI initiatives, while running rapid, iterative experiments to drive model improvements. Responsibilities also include collaborating with researchers to translate academic advances into production-ready systems and building robust ML pipelines.