August 27
🏢 In-office - Toronto
• Build highly scalable machine learning systems • Partner with internal customers to understand their ML development pain points • Provide technical mentorship to ML engineers and interns
• 3+ years experience building production machine learning systems or platform components such as feature store, model training framework, ML prediction service etc • Degree in a relevant discipline such as Computer Science, Machine Learning, or another similar field • Strong coding skills in Python/Java or equivalent • Experience working within common backend system architectures (e.g. microservices) • Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation
• Eligible for equity and benefits • Flexible work arrangement: in-office 2 days a week
Apply Now