Machine Learning Scientist
Summer 2024 Start
Confirmed live in the last 24 hours
Wayfair

10,001+ employees

Online home goods retailer
Company Overview
Wayfair's mission is on a mission to help everyone, anywhere create their feeling of home. Wayfair is an online retailer that offers a wide selection of home furnishings and decor.
Consumer Goods

Company Stage

N/A

Total Funding

$2.3B

Founded

2002

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-8%

2 year growth

-7%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Airflow
Apache Spark
SQL
Docker
AWS
Pandas
NumPy
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Graduating from a PhD program, or 3+ years of relevant experience with a MSc/BaSc in quantitative field (engineering, computer science, economics, etc.)
  • Proficiency in Python or one other high-level programming language
  • A strong theoretical understanding and solid hands-on expertise deploying reinforcement learning solutions into production
  • Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
  • Intellectual curiosity and enthusiasm about continuous learning
  • Well-rounded understanding of machine learning fundamentals (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
  • Ability to thrive in a dynamic environment where there can be degrees of ambiguity
Responsibilities
  • Develop and scale state-of-the-art machine learning methods to address core business problems
  • Architect and support technical platforms for our algorithmic engines to run at scale
  • Build end-to-end ML solutions and pipelines to run in real-time, scaling algorithmic insights to impact millions of Wayfair customers
  • Own the full machine learning life-cycle from conception to prototyping, testing, deploying, and measuring overall business value driven by your work as part of a dynamic team
  • Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
  • Collaborate with data scientists to create maintainable, scalable and debuggable code by bringing strong software development practices
  • Work with a team of friendly and motivated scientists and engineers to build and scale novel solutions to business problems
Desired Qualifications
  • Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)
  • Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)
  • Experience with Spark, Kubernetes, Docker are nice to have