Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
The employer is seeking an MLE Bench Data Analyst for hands-on analytical work with production-like datasets, metrics, and machine learning outputs.
The role supports evaluation and improvement of advanced AI systems and involves collaboration with machine learning engineers and researchers.
Key Skills for This Role
Full Job Posting
Role Overview
The employer is seeking an MLE Bench Data Analyst for hands-on analytical work with production-like datasets, metrics, and machine learning outputs.
The role supports evaluation and improvement of advanced AI systems and involves collaboration with machine learning engineers and researchers.
Location and Work Arrangement
- The role is remote.
Job Type and Payout
- The job type is part-time.
- Compensation is competitive and based on experience.
Key Responsibilities
- Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines.
- Define, compute, and validate metrics used to evaluate model performance and behavior.
- Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
- Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.
- Validate data quality, consistency, and correctness across datasets and experiments.
Required Skills and Qualifications
- At least three years of experience as a data analyst or analytics-focused engineer.
- Strong proficiency in Python for data analysis.
- Solid experience with SQL and relational datasets.
- Experience analyzing machine learning outputs and evaluation metrics.
- Strong understanding of statistics and analytical reasoning.
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