Actively Hiring
WA
Machine Learning Scientist II
Wayfair
Toronto
Skills:
Machine Learning
Python
TensorFlow
PyTorch
Model Training
Job Description
Job Title: Machine Learning Scientist II
Company: Wayfair
Job Category: Machine Learning
Roles & Responsibilities:
Develop and deploy machine learning models in production by collaborating with software engineers and using robust CI/CD practices; ensure these models are scalable, secure, and continuously monitored for performance with effective troubleshooting.
Develop, fine\-tune, and implement GenAI models to improve customer service interactions, such as smart chatbots and agentic AI tools, ensuring they align with Wayfair’s data and context.
Collaborate with product managers, customer service operations, data engineers, and other stakeholders to translate business needs into technical solutions that integrate smoothly into agent workflows.
Develop key success metrics and build evaluation frameworks to regularly assess model output quality, using data\-driven insights to continuously enhance AI capabilities.
Work Location: Toronto, Canada
Availability: Full time
Requirements
Stay current with the latest research in GenAI, transformer architectures, and agentic AI, proactively experimenting with new techniques and tools to champion ideas that enhance Wayfair’s customer service experience.
PhD with 0\-1\+ years of experience or Master’s in Computer Science, Data Science, Machine Learning, or a related quantitative field with 2\+ years of full\-time industry experience in applied research.
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data.
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices.
Hands\-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval\-Augmented Generation (RAG) techniques, and fine\-tuning LLM models to address specific business challenges.
Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training
Salary: CAD 168960 - 188777 per yearly