Staff Machine Learning Engineer - AI Researcher
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
About the job
Apply for this position
Staff Machine Learning Engineer - AI Researcher
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