Remote ML Experiment Validity Auditor

ixolabs.ai; France; Sur place; EUR 90 000 - 114 000; Plein temps

Résumé du poste

ixolabs.ai is seeking specialists to audit machine-learning challenges, assess experiments and define defensible success criteria. Your work focuses on inspecting data, objectives and metrics to ensure meaningful results and reproducible checks.

You will identify leakage, weak baselines and faulty splits, then provide explicit, evidence-based feedback and conclusions within agreed scope.

Qualifications

• At least three years conducting applied ML experiments, including model choice, tuning, evaluation and experimental design.
• Recognize leakage, misleading metrics and faulty train/test/cross-validation splits.
• Reproduce results using relevant tools such as XGBoost, scikit-learn, TensorFlow or PyTorch.

Responsabilités

• Review the task's data, objective, experimental setup and metrics to check that the claimed result is meaningful.
• Identify leakage, weak baselines, unstable evaluation or other methodological issues that could mislead a benchmark.
• Write clear audit feedback that distinguishes an invalid task from a difficult but well-specified ML problem.

Connaissances

Applied ML experiments

Model evaluation

Experimental design

Leakage detection

Cross-validation

Reproducible results

Outils

XGBoost

scikit-learn

TensorFlow

PyTorch

Description du poste

ixolabs.ai is seeking specialists to audit machine-learning challenges, assess experiments and define defensible success criteria. Your work focuses on inspecting data, objectives and metrics to ensure meaningful results and reproducible checks.

You will identify leakage, weak baselines and faulty splits, then provide explicit, evidence-based feedback and conclusions within agreed scope.