Senior Generative Ai Scientist
Wayfair
Lead Generative AI research and production deployment for Wayfair Customer Service, architecting agentic systems and proprietary language models at enterprise scale.As a Machine Learning Scientist III, you will define technical roadmaps for customer service intelligence. You will design multi-agent frameworks, domain-adapted LLMs, and LLMOps infrastructure. The work combines NLP expertise, production delivery, mentorship, and cross-functional technical leadership.Key Responsibilities:
Define Generative AI roadmaps and Customer Service architectureArchitect, fine-tune, and evaluate foundation modelsDrive scalable inference optimization and ML lifecycle standardsDesign evaluation ecosystems for safety and task completionMentor scientists and lead technical design reviewsRequirements:
Required experience based on PhD, MS, or quantitative STEM BSTrack record delivering complex AI systems at production scaleDeep expertise in transformers, RAG, and fine-tuning paradigmsExpert Python, containerization, and distributed inference skillsExperience with monitoring, guardrails, and stakeholder communicationBring Generative AI, NLP, systems design, and production LLMOps expertise to Wayfair’s Customer Service organization.
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Define Generative AI roadmaps and Customer Service architectureArchitect, fine-tune, and evaluate foundation modelsDrive scalable inference optimization and ML lifecycle standardsDesign evaluation ecosystems for safety and task completionMentor scientists and lead technical design reviewsRequirements:
Required experience based on PhD, MS, or quantitative STEM BSTrack record delivering complex AI systems at production scaleDeep expertise in transformers, RAG, and fine-tuning paradigmsExpert Python, containerization, and distributed inference skillsExperience with monitoring, guardrails, and stakeholder communicationBring Generative AI, NLP, systems design, and production LLMOps expertise to Wayfair’s Customer Service organization.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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