Partner with stakeholders to tackle ML-scale problems; build framework-agnostic services.
Establish roadmap and architecture for Wealthsimple’s ML platform.
Build scalable ML systems; contribute on Kubernetes, Bedrock, Sagemaker.
Operate with autonomy to set technical direction for scalable projects.

🎯 Requirements

Experience implementing production-ready services.
7+ years in ML infra, tooling, or ML engineering.
Experience with Python in production environments.
Proven experience designing scalable systems with strong observability.
End-to-end ownership of complex systems.
Experience with the ML ecosystem: PyTorch, Transformers, Ray, Kubeflow, Elasticsearch.

🎁 Benefits

Remote-first team across North America.
Equity included.
Generous PTO.
Retirement savings matching plan.
Diversity, Equity & Inclusion and accessibility commitments.

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