Anyone AI is recruiting experienced Machine Learning Engineers for a specialized project focused on reviewing and evaluating machine learning challenges used in AI model training and evaluation.

The work involves analyzing ML experiments, datasets, metrics, and pipelines to determine whether challenges are technically sound, reproducible, appropriately difficult, and genuinely require strong machine learning reasoning.

What You’ll Work On

You’ll review ML challenges involving:
- Small and synthetic datasets
- Data quality and preprocessing
- Distribution shift and data contamination
- Label noise and feature leakage
- Model evaluation and metric selection
- Train / validation / test methodology
- Reproducibility and deterministic pipelines
- Statistical significance of model improvements

A key part of the role is determining whether a challenge actually rewards good ML reasoning, rather than simply being solvable through brute-force model selection or large hyperparameter searches.

What We’re Looking For

3+ years of hands-on applied machine learning experience





Strong experience with:
- Data preprocessing and validation
- Strong understanding of train, validation, and test splits
- Ability to identify:
- Data leakage
- Distribution shift
- Spurious correlations
- Feature leakage
- Experience evaluating whether performance improvements are statistically meaningful rather than random fluctuations
- Strong understanding of ML evaluation metrics and when different metrics are appropriate
- Experience debugging ML workloads across CPU and GPU environments
- Ability to analyze technical problems and provide clear written feedback

Nice to Have
- Experience creating or participating in Kaggle, DrivenData, or similar ML competitions
- Experience designing benchmark datasets or ML challenges
- Background in data-centric AI or dataset quality
- Experience with synthetic data generation and validation
- Familiarity with statistical testing, confidence intervals, and effe

📌 Machine Learning Engineer – ML Evaluation (Argentina)
🏢 Anyone AI
📍 Argentina