Cribl

1 month ago

Sr Machine Learning Engineer, AI Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join Cribl as a Sr. ML Engineer focused on AI research and productionizing cutting-edge ML for AI-enabled security and observability. Collaborate with founders and engineers to design, train, and evaluate ML models, build robust ML pipelines, and optimize performance through experiments. Stay ahead of AI research, translate academic advances into production systems, and contribute to a rigorous, data-driven culture.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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

Pay and Benefits

Salary: USD 185,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ 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

Experience:4+ yearsAI/MLObservabilitySecurity

Education:Bachelor's

Skills:PythonPyTorchTensorFlowNLPComputer VisionReinforcement LearningMLOpsKubeflowMLflowWeights & Biases

Languages:English

Tech Stack:PythonPyTorchTensorFlowMLflowWeights & BiasesKubeflowNLPComputer VisionReinforcement Learning

Company Brief

Cribl

Builds observability and data routing software that enables organizations to collect, process, and route machine data (logs, metrics, traces) to analytics and storage destinations while reducing costs and improving operational visibility.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn

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Cribl

1 month ago

Sr Machine Learning Engineer, AI Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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

Pay and Benefits

Salary: USD 185,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ 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

Experience:4+ yearsAI/MLObservabilitySecurity

Education:Bachelor's

Skills:PythonPyTorchTensorFlowNLPComputer VisionReinforcement LearningMLOpsKubeflowMLflowWeights & Biases

Languages:English

Tech Stack:PythonPyTorchTensorFlowMLflowWeights & BiasesKubeflowNLPComputer VisionReinforcement Learning

Company Brief

Cribl

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn