Senior Applied Scientist
Core
Design and run experiments, develop ML pipelines and models for post-training foundation models, encoder-decoder models, and cross-encoder models using large-scale data.
Role type
Senior Applied Scientist (LLM/Foundation Models)
Builds
Scalable, reliable ML architectures for post-training foundation models
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Python, post-training of foundation models, experiment design, metric validation, ML pipeline development, model evaluation, technical leadership, cross-functional collaboration
Preferred skills
embedding models, encoder-decoder models, cross-encoder models, publishing research
Technologies
Python
Responsibilities
Design and run experiments to validate metrics and develop ML pipelines; Partner with Engineering, PM, and Design to translate product vision into scalable architecture; Engage with customers to understand pain points and drive improvements; Provide technical leadership and mentorship to the team; Define and evolve success metrics reflecting platform and product growth; Keep up with latest research to foster applied science culture
Seniority
Senior, hands-on IC with mentorship responsibilities
