About this role
makermaker.ai seeks a Machine Learning Engineer in San Francisco to construct and maintain core machine learning systems and pipelines for autonomous research agents. This senior position suits professionals with extensive production experience who enjoy bridging research and large-scale deployment.
Role Overview
The Machine Learning Engineer position at makermaker.ai focuses on building and supporting the infrastructure that powers recursive self-improvement research agents. Operating on-site in San Francisco, this role bridges experimental research and reliable production environments, requiring ownership of training, evaluation, and deployment systems.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
makermaker.ai operates as a small team located on-site in San Francisco. The organization builds autonomous research agents designed for recursive self-improvement through multi-agent systems that propose, execute, and analyze machine learning experiments.
How to Apply
Interested candidates should visit the official makermaker.ai careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is on-site in San Francisco.
What is the primary focus of the role?
The role focuses on building and maintaining production-grade ML systems, pipelines, and infrastructure to support autonomous research agents.
How many years of experience are required?
The position requires 6+ years of experience as a senior machine learning engineer building production-grade systems.
What programming languages and frameworks are required?
Candidates must be fluent in Python and at least one of PyTorch or JAX.
Is this a research or an engineering role?
This is primarily an engineering role focused on building infrastructure and translating research code into production systems.