Intelligence
Member of Technical Staff, ML Engineer
San Francisco · On-site · Staff · Full-time · Posted Apr 24, 2026
- Education
- Computer Science, Data Science, Statistics, Math, Engineering, Physics, or a related field; degree or equivalent experience not specified.
- Visa sponsorship
- The company states that it sponsors visas and handles relocation.
About the job
Build machine learning systems for an AI evaluation platform and data engine, turning human interactions into signals for evaluating and improving frontier models.
What you'll do
- Train and improve preference, reward, and ranking models using human interactions.
- Develop infrastructure for large-scale experimentation, model training, and online evaluation.
- Design systems that convert human preference data into signals for model evaluation and training.
What they ask for
- Strong STEM background in a related field.
- Experience building ML systems, such as training preference models, building data pipelines, or developing production ML infrastructure.
- Interest in how AI learns from human feedback and in human-model interaction.
AI focus
Train human-preference, reward, and ranking models and develop systems for evaluating and improving frontier AI models; optional forward-deployed work with frontier labs.
Model-written summary · the original posting is authoritative