Machine Learning Engineer (Governance ML Platform)

EDB is seeking a Machine Learning Engineer to contribute to their governance ML platform, focusing on building AI agent infrastructure using Postgres. The role involves managing ML infrastructure for serving, evaluation, and continuous improvement of governance models. Daily tasks include implementing low-latency serving, developing evaluation pipelines, and maintaining a model registry. Candidates should have 4 to 7 years of experience in machine learning software engineering, particularly with LLM-based or agentic systems. The position requires expertise in production ML serving, including techniques like quantization and distillation, as well as skills in drift monitoring and telemetry-to-training pipelines. The role is fully remote, making it suitable for individuals who thrive in a flexible work environment. This opportunity is ideal for professionals looking to leverage their machine learning skills in a dynamic and innovative setting.