Sr Machine Learning Engineer, AI Research
Cribl
- Location
- Location not stated
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 185,000–215,000/yr
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, train, and evaluate machine learning models
- Run rapid, iterative experiments to test hypotheses
- Translate academic advances into production-ready systems
- Build and maintain robust ML pipelines
- Optimize model performance
- Contribute to a culture of rigorous experimentation
- Stay current with ML and AI research developments
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
- 4+ years of industry or research experience
- Deep hands-on experience training and evaluating ML models
- Strong proficiency in Python
- Experience with ML frameworks such as PyTorch or TensorFlow
- Familiarity with MLOps tooling and infrastructure
- Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
- Ability to move fast without sacrificing rigor
- Excellent communication skills
Preferred
- Master's or PhD a plus
- Experience with MLflow, Weights & Biases, Kubeflow, or similar
- Experience with language models
Skills
- Python
- PyTorch
- TensorFlow
- MLflow
- Weights & Biases
- Kubeflow
- NLP
- Computer Vision
- Reinforcement Learning
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