Applied Scientist developing AI-powered search and recommendations for Adobe's Cloud offerings. Leading innovative research and implementation of ML models and transformer architectures.
Responsibilities
Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases
Be proficient in optimized inference engines/frameworks like vLLM, TensorRT
Fine-tune LLMs and Diffusion models
Conduct innovative research on novel LLM architectures and training methods, focusing on creative applications
Develop robust methods to evaluate LLM performance
Requirements
Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
5+ years of relevant experience required
Be proficient in Python, PyTorch, Hugging Face Ecosystem
Proficient in optimized inference engines/frameworks like vLLM, TensorRT
Align text, visual and other modalities by fine-tuning Transformer-based models for the creative domain
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