Senior Machine Learning Engineer, Model Training & Evaluation
Core
Own the end-to-end training and evaluation cycle for document AI models, transforming research direction into reliable, reproducible, and scalable experimentation pipelines.
Role type
Senior IC machine learning engineer (document AI)
Builds
Production-ready document AI models and scalable experimentation pipelines
Domain
Enterprise AI / Document Intelligence
Deliverable
production ML models
Required skills
End-to-end training pipeline ownership, data ingestion, orchestration, checkpointing, result logging, large-scale experiment execution, reproducibility, traceability, training instability analysis, loss anomaly investigation, performance gap analysis, hypothesis generation
Preferred skills
Applied ML research expertise, production-grade engineering, experimental rigor
Technologies
(Not explicitly stated)
Responsibilities
Own the end-to-end training pipeline including data ingestion, orchestration, checkpointing, and result logging; Execute large-scale experiments with emphasis on reproducibility and traceability; Investigate training instabilities, loss anomalies, and performance gaps providing structured analysis and hypotheses; Implement and validate new (cut off in source)
Seniority
Senior, hands-on IC