Remote opportunity at
EDBMachine Learning Engineer (Governance ML Platform)
EDB is hiring a remote Machine Learning Engineer (Governance ML Platform) to design and manage ML infrastructure focused on governance models, serving, evaluation, red-teaming, and continuous…
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About This Role
EDB is hiring a remote Machine Learning Engineer (Governance ML Platform) to design and manage ML infrastructure focused on governance models, serving, evaluation, red-teaming, and continuous improvement. EDB delivers a data and AI platform helping organizations utilize Postgres across diverse cloud environments. This role suits professionals with a background in machine learning engineering who want to help transform Postgres into a premier platform for AI agents. The position involves building…
Job Description
EDB is hiring a remote Machine Learning Engineer (Governance ML Platform) to design and manage ML infrastructure focused on governance models, serving, evaluation, red-teaming, and continuous improvement. EDB delivers a data and AI platform helping organizations utilize Postgres across diverse cloud environments.
This role suits professionals with a background in machine learning engineering who want to help transform Postgres into a premier platform for AI agents. The position involves building low-latency serving solutions, evaluation pipelines, red-team systems, and self-improving feedback loops using production audit data.
The company maintains an equal opportunity workplace grounded in mutual trust and respect. EDB provides health and wellness resources through CuraLinc along with Wellness Fridays through December 2026, with specific perks varying by region.
Responsibilities
- Manage low-latency model serving, evaluation pipelines, and model registries
- Develop red-team harnesses including attack orchestration, scorecards, regression suites, and CI gating
- Build continuous self-improvement loops featuring automated retraining and dataset curation derived from audit trails
- Implement gated auto-rollout mechanisms
Requirements
- Possess four to seven years of professional machine learning software engineering experience
- Demonstrate hands-on work with LLM-based or agentic systems
- Bring deep production ML serving experience including low-latency inference, quantization, and distillation
- Have experience with evaluation pipelines, model registries, red-team adversarial testing harnesses, and CI-gated regression suites
- Understand drift monitoring and shadow deployment
- Exemplify fluency with SQL and PostgreSQL alongside a security-first mindset in audited environments
Qualifications
- Experience building auto-retraining loops from production telemetry and audit data
- Familiarity with the Model Context Protocol, tool registries, and agent orchestration patterns
- History of Postgres extension development in C or Rust, or direct contributions to the Postgres ecosystem
Core Skills
Benefits
- Access to CuraLinc for health and wellness guidance
- Wellness Fridays extending through December 2026
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this is a 100% remote role.
What is the employment type?
The employment type is full-time.
What is the salary for this position?
The salary is not specified in the job posting.
What primary technical background is required?
Candidates need four to seven years of professional machine learning software engineering experience with LLM-based or agentic systems, production ML serving, evaluation pipelines, adversarial testing, and SQL or PostgreSQL fluency.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.