Machine Learning Engineer
Core
Own the data foundation for the ML team, focusing on dataset pipelines, labeling workflows, and data quality to remove bottlenecks in model quality.
Role type
Machine Learning Engineer (Data Foundation)
Builds
Dataset pipelines, labeling workflows, evaluation suites, and reproducible model packages
Domain
Cybersecurity (IT, OT, ICS)
Deliverable
production ML models
Required skills
Python, model training and fine-tuning, structured model evaluation, experiment tracking, data quality management
Preferred skills
null
Technologies
null
Responsibilities
Train and fine-tune models against curated datasets; run systematic hyperparameter and architecture experiments; build and maintain evaluation suites including regression tests and benchmark tracking; analyze model failures and translate findings into dataset or training improvements; package models with documentation and reproducible results for handoff; contribute to internal tooling for experiment tracking and model comparison
Seniority
Mid-level, hands-on IC
