ML Research Engineer, Evaluation
Core
Designing rigorous benchmarks, evaluation pipelines, and adversarial checks for molecular AI systems to validate model performance in drug discovery.
Role type
ML Research Engineer (Evaluation)
Builds
Internal benchmarks, evaluation pipelines, adversarial checks, and data cards for molecular structure prediction models.
Domain
Applied AI for drug discovery (cheminformatics, mass spectrometry)
Deliverable
production ML models
Required skills
ML benchmark design, adversarial testing, Python, reproducible pipelines, cheminformatics (SMILES, InChIKey, fingerprints), mass spectrometry familiarity
Preferred skills
Scientific judgment, critical analysis of model behavior, infrastructure building
Technologies
Python, containerized pipelines
Responsibilities
Design benchmark tasks for molecular generation and property prediction; build leakage-safe datasets and controls; analyze model behavior and interpret results; translate evaluation findings into research priorities; lead evaluation work across the team.
Seniority
Mid-Senior, hands-on IC
