R&D PhD Summer Intern: Grooming M&S
Core
PhD intern developing multimodal GenAI and computer vision solutions to analyze skin and hair perception from images and connect technical measurements with consumer data.
Role type
PhD research intern (Data Science/AI)
Builds
Multimodal AI models, evaluation datasets, and metrics for consumer perception alignment
Domain
Consumer packaged goods (Grooming) + Computer Vision + Generative AI
Deliverable
production ML models
Required skills
Python, machine learning, computer vision, multimodal AI, image analysis, statistics, quantitative modeling
Preferred skills
vision-language models (VLMs), foundation models, agentic AI workflows, human-subject studies, Git/GitHub
Responsibilities
Develop and evaluate multimodal GenAI approaches for skin/hair perception; Connect image-based measurements with consumer data; Build benchmarks and evaluation datasets; Explore agentic and multimodal AI workflows; Translate findings into actionable insights for R&D
Seniority
PhD student (Intern)
