MakerMaker.AI
RESEARCH ENGINEER (GENERAL)
San Francisco · On-site · Full-time · Posted May 18, 2026
- Experience
- 6+ years.
About the job
Builds and owns production-grade research systems and pipelines that let researchers run machine-learning experiments reliably and at scale.
What you'll do
- Build and maintain training, evaluation, deployment, and data pipelines.
- Turn research prototypes into production systems, including testing, instrumentation, and observability.
- Partner with researchers and set engineering standards for the research stack.
What they ask for
- 6+ years building production-grade research systems.
- Experience across the lifecycle of data, training, evaluation, deployment, and monitoring.
- Strong distributed systems experience.
- Fluent Python and at least one of PyTorch or JAX; comfortable with experimentation infrastructure such as Ray, Slurm, Kubernetes, or similar.
Nice to have
- Experience building experimentation platforms or research infrastructure at a frontier research lab.
- Background in distributed training systems or open-source contributions to research infrastructure.
Tools
Python, PyTorch, JAX, Ray, Slurm, Kubernetes
AI focus
Builds research systems and pipelines for autonomous research agents and machine-learning experiments.
Model-written summary · the original posting is authoritative