Role on Machine Learning Platform team building self-serve ML platform
Improve ML-ops tooling and support launches of new data products
Partner with stakeholders to tackle technical problems at scale
Architect and roadmap Wealthsimple's ML platform; run on Kubernetes and Ray
Develop framework-agnostic services for training, inference, evaluation, monitoring
Own end-to-end projects with strong observability

🎯 Requirements

5+ years production-ready services experience
3+ years Python
5+ years ML infra, ML tooling or ML engineering
Proven experience building scalable, observable systems
End-to-end project ownership
Preferred ML ecosystem experience: PyTorch, transformers, Ray, feature stores, Elastic, vector

🎁 Benefits

Top-tier health benefits and life insurance
Long-term savings with employer match
20 vacation days, 4 wellness days, unlimited sick/mental health days
90 days abroad: work outside Canada up to 90 days/year
Hybrid team across North America

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot