Applied Scientist
Core
Develop and apply machine learning, deep learning, and multimodal AI techniques to solve problems in image indexing, content understanding, selection, and ranking.
Role type
Applied Scientist (Multimodal AI & Search)
Builds
AI-powered platform capabilities for multimedia content discovery, near real-time indexing systems, and production ML models for document understanding and ranking.
Domain
Multimedia, Search, Computer Vision, Natural Language Processing
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Multimodal AI, Large Language Models (LLMs), Small Language Models (SLMs), Computer vision, Natural language processing, Large-scale data analysis, Experimentation design, Model evaluation, Big Data technologies, Responsible AI practices
Preferred skills
Publications in major ML/IR/NLP/CV conferences (ICML, NIPS, SIGIR, ACL, EMNLP, CVPR, KDD), Innovation in generative AI
Technologies
LLMs, SLMs, Multimodal models, Big Data technologies
Responsibilities
Design and implement ML models for document understanding and content discovery; Conduct large-scale data analysis to improve index quality and relevance; Develop robust evaluation methodologies and analyze experiment results; Contribute to near real-time indexing systems; Document experiments and communicate findings with stakeholders.
Seniority
Mid-Senior, hands-on IC
