MACHINE LEARNING ENGINEER (GENERAL)

MakerMaker.AI is building autonomous research agents for recursive self-improvement and operates as a small, on-site team in San Francisco. The Senior Machine Learning Engineer will build and maintain the ML systems and pipelines supporting research, including data, training, evaluation, deployment, and observability, while owning systems end-to-end and translating research code into reliable production infrastructure.

Responsibilities:

• Build and maintain the training, evaluation, and deployment pipelines that our research runs on
• Take research code from prototype to production: refactor, harden, instrument, test
• Design observability into our ML systems (metrics, logs, traces, eval dashboards) so failures surface fast
• Own data pipelines for training and evaluation: ingest, dedup, version, validate
• Work closely with researchers to understand what they need, what's slow, and what's brittle
• Set engineering standards across our ML stack (testing, reviews, runbooks) so the team scales
• Contribute to architectural decisions that shape how research and production interacts