At a Glance
- Tasks: Design and develop advanced machine learning models for marketing optimization.
- Company: Wayfair, a leader in e-commerce with a focus on innovation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team passionate about continuous learning and innovation.
- Why this job: Make a real impact by leveraging AI to optimize marketing strategies.
- Qualifications: PhD or relevant experience in machine learning and proficiency in Python.
The predicted salary is between 90000 - 110000 $ per year.
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 Gen AI applications for content optimization
- Architect content infrastructure balancing cost and performance
- Research advanced Gen AI applications for diverse media
- Build AI solutions for channel analytics workflows
Requirements
- 0+ years with Ph D, 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. #J-18808-Ljbffr
Machine Learning 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.
