Machine Learning Engineer (Governance ML Platform)
Core
Building production-grade ML infrastructure for AI governance, trust, and next-gen AI agent capabilities.
Role type
Senior IC machine learning engineer (governance & infrastructure)
Builds
Low-latency model-serving systems, evaluation pipelines, model registries, red-team testing infrastructure, and telemetry-to-training loops.
Domain
AI governance, trust, and agent technologies
Deliverable
production ML models
Required skills
ML model serving, low-latency inference, quantization, model distillation, evaluation pipelines, model registries, red-team testing, model drift monitoring, shadow deployment, SQL, PostgreSQL
Preferred skills
Automated retraining loops, Model Context Protocol (MCP), tool registries, AI agent orchestration, PostgreSQL extensions in C or Rust
Technologies
PostgreSQL, C, Rust (via careerplan.io/jobs/70d65e19-3ce9-403c-89de-1fc07790e420-machine-learning-engineer-governance-ml-platform-at-jobgether)
Responsibilities
Own ML infrastructure for governance models (serving, evaluation, monitoring, red-teaming, continuous improvement); Build low-latency model-serving systems and evaluation pipelines; Develop model registries and lifecycle management tools; Translate research models to production via optimization; Build drift-monitoring and shadow-deployment capabilities; Develop telemetry-to-training pipelines; Design red-team testing infrastructure; Establish continuous self-improvement workflows; Implement safeguards for secure ML operations.
Seniority
Senior, hands-on IC
