Machine Learning Engineer (Governance ML Platform)

A Little About Us

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. 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 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.

EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits.

We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply!

EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.

EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.

Originally posted on Himalayas