Member of Technical Staff, Post-Training Research
IntelligenceProfessional Networking company
San Francisco, United StatesLead
Data & AI
About the role
TL;DR
Invent new ways to detect and scale data for frontier AI models.
- •Intelligence is seeking a Member of Technical Staff to invent new ways to detect and scale the data that makes frontier AI models smarter.
- •You will develop scalable systems that generate, curate, and improve high-quality supervision across coding, multimodal, and agentic tasks.
- •Key Responsibilities Train and improve preference, reward, and ranking models from millions of human interactions.
- •Develop infrastructure for large-scale experimentation and model training.
- •Design systems that transform human preference data into reliable signals for downstream model evaluation and training.
- •Requirements Strong STEM background (Computer Science, Machine Learning, Data Science, Statistics, Math, Engineering, Physics, or related).
- •Experience building ML systems (trained preference models, built data pipelines, or worked on ML infrastructure).
- •Interest in how AI learns from human feedback and human-model interaction.
Required skills
PythonLLMsPyTorchTensorFlowscikit-learnOpenAI APILangChainHugging FaceDockerKubernetesAWSGoogle CloudAzureGitLinux
Nice-to-have skills
JavaScriptTypeScriptReactNode.js
Domain expertise
aideveloper-tools
Benefits & perks
visa sponsorship, relocation assistance, equity
Tech stack
PythonJavaScriptTypeScriptReactNode.jsTensorFlowPyTorchscikit-learnOpenAI APILangChainHugging FaceLLMsGitLinuxDockerKubernetesAWSGoogle CloudAzure