Machine Learning Engineer – Governance ML Platform

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🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EDB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

🏢 Enterprise

🤝 B2B

💰 Venture Round on 2019-10

Software • Enterprise • B2B

EDB is a company focused on providing advanced software solutions and services for database management. It specializes in PostgreSQL, an open-source database management system, and helps organizations deploy, run, and scale their data infrastructure efficiently and securely. EDB offers tools and support for database optimization, migration, and performance tuning, making it a valuable partner for enterprises looking to maximize their data capabilities.

📋 Description

• Own ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models • Build the next generation of AI agent infrastructure on top of Postgres • Implement low-latency serving, evaluation pipelines, and model registry capabilities • Deliver sub-50ms inference through quantization/distillation • Implement drift monitoring, shadow deployment, telemetry-to-training pipelines, and model improvement workflows • Develop attack orchestration, scorecards, regression suites, and CI gating for red-team testing • Build continuous retraining, audit-trail dataset curation, and gated auto-rollout processes

🎯 Requirements

• 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, including low-latency inference and quantization/distillation • Evaluation pipeline and model registry experience • Red-team/adversarial testing harness experience, including CI-gated regression suites • Drift monitoring/shadow deployment experience • Fluency with SQL and PostgreSQL • Security first mindset and experience in audited environments • Experience building auto-retraining loops from production telemetry/audit data is an edge • Familiarity with the Model Context Protocol (MCP), tool registries, and agent orchestration patterns is an edge • Postgres extension development in C or Rust, or contributions to the Postgres ecosystem, is an edge

🏖️ Benefits

• Access to CuraLinc for health and wellness tips and practices • Wellness Fridays extending to December 2026 • Region-specific benefits (details available through the career site and Talent Acquisition team)