Machine Learning Engineer (Governance ML Platform) - EDB

About EDB

EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. 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.

Note: This position is 100% remote.

The Role

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, 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 serving experience (low-latency inference, quantization/distillation).
• Evaluation pipeline and model registry experience.
• Red-team/adversarial testing harness experience (CI-gated regression suites).
• Drift monitoring/shadow deployment experience.
• Fluency with SQL and PostgreSQL.
• Security-first mindset and experience in audited environments.

What Will Give You an Edge

• Experience building auto-retraining loops from production telemetry/audit data.
• Familiarity with the Model Context Protocol (MCP), tool registries, and agent orchestration patterns.
• Postgres extension development in C or Rust, or contributions to the Postgres ecosystem.

Benefits & Perks

• Wellness Fridays (extending to December 2026)
• Access to CuraLinc for health and wellness resources