Member of Technical Staff, ML Engineer
IntelligenceProfessional Networking company
San Francisco, United StatesLead
Data & AI
About the role
TL;DR
Build ML systems for AI model evaluation and data processing.
- •Intelligence is seeking an ML Engineer to build the machine learning systems powering their evaluation platform and data engine.
- •You will train human preference models, build large-scale data pipelines, and develop infrastructure to transform human interactions into reliable signals for evaluating frontier AI models.
- •Key Responsibilities Train and improve preference, reward, and ranking models from millions of human interactions.
- •Develop infrastructure for large-scale experimentation, model training, and online evaluation techniques.
- •Design systems that transform human preference data into reliable signals for downstream model evaluation and training.
- •Requirements Strong STEM background (Computer Science, Data Science, Statistics, Math, Engineering, Physics, or related).
- •Experience building ML systems, including training preference models, building data pipelines, or working on ML infrastructure in production.
- •Interest in how AI learns from human feedback and solving problems at the intersection of human-model interaction.
Required skills
PythonLLMsTensorFlowPyTorchscikit-learnOpenAI APILangChainHugging FaceComputer VisionNLP
Domain expertise
aideveloper-tools
Benefits & perks
visa sponsorship, relocation assistance, equity
Tech stack
PythonTensorFlowPyTorchscikit-learnOpenAI APILangChainHugging FaceComputer VisionNLPLLMsGitLinux