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 architecture Architect, fine-tune, and evaluate foundation models Drive scalable inference optimization and ML lifecycle standards Design evaluation ecosystems for safety and task completion Mentor scientists and lead technical design reviews Requirements:
Required experience based on PhD, MS, or quantitative STEM BS Track record delivering complex AI systems at production scale Deep expertise in transformers, RAG, and fine-tuning paradigms Expert Python, containerization, and distributed inference skills Experience with monitoring, guardrails, and stakeholder communication Bring Generative AI, NLP, systems design, and production LLMOps expertise to Wayfair’s Customer Service organization.
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Senior Generative AI Scientist in Toronto employer: Wayfair
Wayfair is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Machine Learning Scientist II role in Toronto. With a strong emphasis on employee growth, Wayfair offers opportunities to work on cutting-edge AI solutions while enjoying the flexibility of a hybrid work environment. The company values continuous learning and provides resources for professional development, making it an ideal place for those looking to make a meaningful impact in the field of machine learning.
