Job Description
📋 Description 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
