Member of Technical Staff, AI for AI Systems
MirendilAI Research company
San Francisco$300K - $500KLead
Andreessen Horowitz
Kleiner Perkins
Nvidia
Data & AI
About the role
TL;DR
Develop AI systems to improve other AI systems.
- •We are looking for an innovative Research Engineer to build AI that makes AI systems better.
- •Key Responsibilities Build AI that improves AI.
- •Develop models, agents, and pipelines that automate and enhance parts of the ML lifecycle.
- •Run experiments end-to-end.
- •Form hypotheses, design experiments, build the infrastructure to run them at scale, and turn results into shipped improvements.
- •Optimize training and inference systems.
- •Profile and improve throughput, memory, and cost across distributed training and serving, and feed those learnings back into automated tooling.
- •Develop evaluation and observability.
- •Create benchmarks, automated evals, and monitoring that surface model regressions, failure modes, and emergent behaviors.
- •Requirements Deep understanding of ML at both the application and system levels.
- •Experience with model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments.
- •Ability to ship AI-driven systems that improve how AI systems are trained, evaluated, deployed, and operated.
- •Strong background in AI/ML research and development.
- •Excellent problem-solving skills and a passion for closing the AI loop at scale.
Required skills
PythonTensorFlowPyTorchscikit-learnKubernetesCI/CDAWS
Domain expertise
ai
Benefits & perks
equity
Tech stack
PythonTensorFlowPyTorchscikit-learnKubernetesCI/CDAWS