Sr. Machine Learning Engineer, Anonymization
Core
Build ML systems that score, validate, and improve complex work products where correctness is nuanced and labels are imperfect.
Role type
Senior IC machine learning engineer (anonymization & validation)
Builds
Frontier Data Products infrastructure for scoring, validating, and improving complex work products
Domain
AI data, human-in-the-loop ML, model evaluation
Deliverable
production ML models
Required skills
ML system design, evaluation framework design, error analysis, production failure mode analysis, model quality improvement, latency/cost tradeoff management, explainability
Preferred skills
LLM applications, model-assisted workflows, evaluation frameworks, human-in-the-loop ML
Technologies
Python, Temporal, Postgres, AWS, LiteLLM
Responsibilities
Build ML systems that score, validate, and improve complex work products; Design evaluation frameworks for ambiguous tasks; Build feedback loops for model and system improvements; Own production ML behavior end-to-end; Improve model quality using prompting, fine-tuning, retrieval, active learning, heuristics; Partner with backend engineers to integrate inference into durable workflows
Seniority
Senior, hands-on IC
