Join Peripheral as an Infrastructure Engineer, specializing in MLOps and cloud architecture for cutting-edge spatial intelligence. Help transform the sports entertainment landscape. In this role, you'll be central to the architectural design of Peripheral's cloud infrastructure.

You’ll work with various teams, focusing on creating robust systems for ML training and effective production-level serving. Your experience in systems reliability and thought leadership will be invaluable as you guide the engineering function towards scalable solutions. Key Responsibilities:

- Architect cloud systems for large-scale ML training
- Collaborate on scalable foundation model deployment
- Design resilient data pipelines for various media types
- Maintain high reliability during live event workloads
- Mentor engineers as the infrastructure team grows Requirements:
- Advanced degree in Computer Science or related fields
- 4+ years in cloud infrastructure for ML workloads
- Proficient in AWS or GCP services
- Expertise in GPU/TPU training, containers, and orchestration
- Solid understanding of cloud security practices Leverage your systems thinking and DevOps skills to build the future at Peripheral.

📌 Infrastructure Engineer with MLOps Focus (Toronto)
🏢 Jaide Health
📍 Toronto