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Wayfair

Toronto / Global

Machine Learning Scientist at Wayfair

  • Hybrid

Job Description

Join Wayfair as a Machine Learning Scientist II in Toronto, ON, focusing on marketing optimization through advanced ML solutions. Collaborate in a hybrid work environment, developing impactful AI-driven systems.

In this hybrid position, you will collaborate with a cross-functional team at Wayfair. This role requires proficiency in Python and significant experience in deploying machine learning models. You will help design and build optimization algorithms employing reinforcement learning for various marketing channels while ensuring stakeholder access to centralized content optimization tools.

Key Responsibilities:

• Design and refine machine learning models for real-world applications

• Develop GenAI applications for content optimization

• Architect content infrastructure balancing cost and performance

• Research advanced GenAI applications for diverse media

• Build AI solutions for channel analytics workflows

Requirements:

• 0+ years with PhD, 2+ years with MS, or 4+ years with BS

• Proficiency in Python or another high-level language

• Strong hands-on expertise in deploying ML solutions

• Excellent communication skills for non-expert audiences

• Passion for continuous learning and intellectual curiosity

Contribute your expertise in ML and AI systems to empower Wayfair's innovative marketing strategies.

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