Candidates for this position are preferred to be based in Toronto, CAN and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are:

The Machine Learning Platforms team provides Wayfair machine learning engineers and scientists with an integrated platform composed of a variety of in-house and vendor solutions that enable and accelerate ML development at Wayfair. Our mission is to make machine learning more accessible and to enable scientists and engineers to solve more business problems with ML. We do this by building and maintaining multiple solutions to accelerate ML workflows, such as our scalable model deployment platform and our plugin that allows users to easily configure CI/CD for their orchestration workflows. This role is for a backend engineer who will be focused on enablement of cloud native services and tooling for model development, training, and deployment.

The Machine Learning Platforms team is part of the MarTech, Data and Machine Learning Engineering team that is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimization and effective decision making on millions of items in our catalog. The types of systems built by this team range from low latency REST and Graph QL APIs, to streaming systems processing billions of daily events in real time to large scale batch systems.

If you love to solve real business problems at scale, in a fast-paced, high growth and agile environment, this is the role for you!

What You’ll Do:

• Take complex engineering problems, design appropriate solutions and deliver on them fairly independently with limited oversight
• Work on a variety of technologies - from model training to model deployment tools using GCP, K8s and Python
• Work closely as needed with the Machine Learning Science and Engineering teams and develop good architectural patterns allowing us to deploy ML models quickly and flexibly
• Design systems that can handle large volumes of data and provide robustness, resilience to failures, and smart anomaly detection capabilities
• Be a multiplier, mentor other engineers on the team and help them become more productive and implement engineering best practices

We Are a Match Because:

• 3-5 years of experience as a backend or full stack engineer
• Expertise with a modern programming language (such as Python, Java, Rust, JavaScript, PHP, or others)
• Experience building a variety of applications ranging from low latency APIs to large scale batch systems
• Experience in CI/CD tools/platforms like Buildkite/Docker/Kubernetes
• Familiarity with Machine learning concepts
• A track record of delivering in increments and learning as you go
• Great verbal and written communication skills and the ability to support technical decision making with the team
• A genuine believer in constructive and respectful code reviews, retros, and collaborative problem-solving as the bedrock of a healthy team

Preferred:

• Experience working with Data Science and/or Machine Learning
• Experience working with a cloud provider, preferably Google Cloud Platform
• Proficiency in designing robust, reliable systems at scale
• Experience in system monitoring using tools like Grafana/DataDog etc.
• Experience mentoring engineers and leading code and design reviews
• Experience in working with product managers and designers to define, break down, and collaborate on feature work

• Time Off:
• Paid Holidays
• Paid Time Off (PTO)
• Health & Wellness:
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• Disability Protection (Short Term & Long Term Disability) 
• Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• Financial Growth & Security:
• RRSP (Registered Retirement Savings Plan)
• Tuition Reimbursement 
• Financial Health Education (Knowledge of Financial Education - KOFE)
• Tax Advantaged Accounts
• Family Support:
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• Rewards & Recognition 
• Global Employee Anniversary Awards 
• Paid Volunteer Work 
• Unique Perks:
• Employee Discount 
• U.S. Bluebikes Membership
• Global Pod Outings
• Work/Life Balance:
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments 

We are looking forward to your application!

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

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, genetic information, or any other legally protected characteristic.

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