Applied ML Scientist, Digital Biomarker

About the role

Own the ML lifecycle that turns in-app behavioral data into a validated digital biomarker of craving. Arcanys is hiring a Cebu-based, fully remote Applied ML Scientist to ship models with the MSI team and in-house science/backend engineers.

What you'll do

• Develop statistical and machine learning models on behavioral and response-time data from in-app tasks.
• Engineer features from high-frequency behavioral data and identify the most informative signals.
• Benchmark model families from regularized statistical models and gradient-boosted trees (XGBoost, LightGBM).
• Design and run validation: cross-validation, calibration, explainability (SHAP), and ablation analysis.
• Build reproducible training pipelines, experiment tracking, and model versioning using modern MLOps practices.
• Deploy models as scalable APIs and collaborate with backend engineers on production and on-device inference.

Requirements

• Background in statistics, data science, machine learning, applied mathematics, or a related quantitative discipline.
• Around 3-6+ years developing and deploying ML solutions.
• Strong understanding of applied statistics, feature engineering, supervised learning, model evaluation, and explainability.
• Fluent in Python and the scientific Python ecosystem, including Pandas or Polars, NumPy, and scikit-learn.
• Experience building production-quality software with Git, Docker, REST APIs (FastAPI or similar), and CI/CD workflows.
• Comfortable working with health data and its privacy requirements (GDPR).

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