Software Engineering Manager, Machine Learning Platform

Toronto, ON

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Software Engineering Manager

The Data and Machine Learning Platforms team paves the path for any Wayfair team to make informed decisions leveraging data and ML. This team builds and maintains multiple solutions for streaming data, analytics, ML model development and training, a feature store, centralized model registry, and a scalable model deployment platform.

What You'll Do

  • Lead one or more dev teams of strong, engaged engineers. Manage, mentor and coach team members at multiple career levels
  • Partner as a thought leader with your product and marketing peers to define the vision for your platform and build the roadmap for your team
  • Execute and own all aspects of software development for your team – design, development and deployment
  • Use depth and breadth of technical expertise to ensure platforms being built are scalable, maintainable and extensible
  • Demonstrate strong motivation and drive to improve all aspects of the team and platform - whether it's making process improvements or rearchitecting the platform for the next level of scale and operability

What You'll Need

  • B.S. or equivalent experience in computer science/related field
  • Experience making architectural and design-related decisions for large scale platforms, understanding the tradeoffs between time-to-market vs. flexibility.
  • Experience hiring and mentoring junior and senior engineers across levels
  • Experience initiating and driving complex projects to completion with minimal guidance
  • Experience taking Machine Learning models to production, with a focus on model training
  • Excellent communication skills and the ability to work effectively with engineers, product managers, and business stakeholders alike

About Us

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information

 



About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.

Tags: Computer Science Engineering Machine Learning ML models Model deployment Model training Privacy Streaming

Perks/benefits: Career development

Region: North America
Country: Canada
Job stats:  5  0  0

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