RESEARCH ENGINEER (GENERAL)

The role

You will build and maintain research systems and pipelines including data pipelines, training infrastructure, evaluation tooling, deployment, and observability. You will translate research code into reliable infrastructure and own systems end-to-end.

What you will do

• Build and maintain training, evaluation, and deployment pipelines
• Take research code from prototype to production
• Design observability into research systems
• Own data pipelines for training and evaluation
• Work closely with researchers to understand needs
• Set engineering standards across the research stack
• Contribute to architectural decisions

Required qualifications

• Senior research engineer with 6+ years building production-grade research systems
• Track record across the full lifecycle: data, training, evaluation, deployment, monitoring
• Strong distributed systems experience
• Fluent Python
• Fluent with at least one of PyTorch, JAX
• Comfortable at the systems-level when needed
• Comfortable with experimentation infrastructure (Ray, Slurm, Kubernetes, or similar)
• Bias toward shipping
• Strong written communication

Nice to have

• Experience building experimentation platforms or research infrastructure at a frontier research lab
• Background in distributed training systems
• Open-source contributions to research infrastructure
• History of working effectively with small senior teams

About the company

makermaker.ai is a small, well-funded team building autonomous research agents for recursive self-improvement.