EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world.
Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies.
EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies.
EDB delivers the confidence of up to 99.
999% high availability with mission critical capabilities built in such as security, compliance controls, and observability.
For more information, visit www.
enterprisedb.
com Candidate Note: This position is 100% remote EDB is building the next generation of AI agent infrastructure on top of Postgres including an Agent Hub, an Agent Memory layer, MCP, governance and trust controls, and enterprise-grade retrieval.
We're looking for an experienced Machine Learning (ML) Engineer to own the ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models.
And turning Postgres into a first-class platform for AI agents.
What your impact will be: Serving & evaluations: low-latency serving, eval pipelines, model registry.
Research-to-production: <50ms inference via quantization/distillation, drift monitoring, shadow deployment, telemetry-to-training pipelines.
Red-team harness: attack orchestration, scorecards, regression suites, CI gating.
Self-improvement loop: continuous retraining, dataset curation from the audit trail, gated auto-rollout.
What you will bring: 4–7 years of professional machine learning software engineering experience, with hands-on work on LLM-based or agentic systems.
Deep production ML s.