Machine Learning Engineer (Governance ML Platform)
Core
Building ML infrastructure for governance models, agent infrastructure, and trust controls on top of Postgres.
Role type
Senior Machine Learning Engineer (ML Infrastructure)
Builds
AI agent infrastructure, governance models, and trust controls for Postgres
Domain
Data & AI Platform / PostgreSQL / AI Agents
Deliverable
production ML models
Required skills
LLM-based systems, low-latency ML serving, quantization/distillation, evaluation pipelines, model registry, red-teaming/adversarial testing, drift monitoring, shadow deployment, SQL, PostgreSQL
Preferred skills
Auto-retraining loops, Model Context Protocol (MCP), tool registries, agent orchestration, Postgres extension development (C/Rust)
Technologies
Postgres, LLMs, Python (implied by ML context), Rust, C
Responsibilities
Build low-latency serving and evaluation pipelines; implement red-team harnesses for attack orchestration; develop self-improvement loops via telemetry and audit data; manage model registry and CI gating.
Seniority
Senior, hands-on IC
