Toronto based opportunity with a 3‑day in‑office expectation (Tuesday – Thursday) with 2 days remote (Monday and Friday).
Responsibilities
Support designing and perform hands‑on building of platform services and tooling that make it easy for teams across Wayfair to build AI‑powered applications that are reliable, scalable, and easy to maintain.
Help build and operate AI/ML pipelines and model deployment systems, including services that orchestrate AI workloads on Kubernetes and in the cloud.
Contribute to the development of end‑to‑end AI solutions that can power the full range of AI initiatives at Wayfair.
Ensure that engineering quality standards are met within your team through testing, code reviews, documentation, and incremental delivery.
Contribute to architectural and code review discussions that impact our engineering ecosystem, especially around AI...