Staff Machine Learning Engineer, Ai Research

Cribl

Remote, United States
Base: $230,000 - $275,000; bonus/equity: equity + ...
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Deep hands-on experience training ml models
Strong proficiency in python and pytorch or tensorflow
Familiarity with mlops tooling like mlflow or weights & biases
** Cribl is seeking a Staff Machine Learning Engineer to join their remote team and contribute to AI research and development for security and observability platforms. The role involves designing and evaluating machine learning models, collaborating with engineers and researchers, and integrating AI technologies into Cribl's product suite. **

Job Summary

  • You will work closely with the founding team to shape the future of AI-enabled Security/Observability platforms.
  • The role involves designing, training, and evaluating machine learning models across a range of research and applied AI initiatives.
  • Cribl offers a competitive salary ranging from $230,000 to $275,000 along with equity, bonuses, and comprehensive health benefits.

Matching Summary

Match Score: 75

** Cribl is seeking a Staff Machine Learning Engineer to join their remote team and contribute to AI research and development for security and observability platforms. The role involves designing and evaluating machine learning models, collaborating with engineers and researchers, and integrating AI technologies into Cribl's product suite. **

Salary

Base: $230,000 - $275,000; Bonus/Equity: Equity and discretionary company-wide bonus eligibility; Benefits: Health, dental, vision, 401(k), fertility treatment, paid holidays, and PTO

Skills & Requirements

Must-have

  • Deep hands-on experience training ML models
  • Strong proficiency in Python and PyTorch or TensorFlow
  • Familiarity with MLOps tooling like MLflow or Weights & Biases
  • Solid understanding of modern NLP or computer vision techniques

Nice-to-have

  • Master's degree or PhD in Computer Science or related field
  • Experience with reinforcement learning techniques
  • Ability to move fast without sacrificing rigor
  • Excellent communication skills for non-technical stakeholders

Key Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of industry or research experience
  • Master's or PhD preferred

Work Rights

Not specified

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