Join us as an ML Engineer specializing in infrastructure dedicated to advancing machine learning technologies. This role focuses on building systems that facilitate high-throughput research on large language models.
In this creative position, you will create, scale, and optimize the infrastructure that supports our pioneering research, helping address real-world challenges in ML. Familiarity with cloud services and distributed systems techniques is crucial as you enhance our capabilities in handling complex ML tasks. Work closely with engineers to develop robust internal tooling and frameworks.
Key Responsibilities:
• Build and maintain infrastructure for ML post-training research
• Design evaluation and benchmarking tools for quality assurance




• Develop automated testing and deployment systems
• Collaborate with researchers to fulfill infrastructure requirements
Requirements:
• Proficiency in PyTorch or JAX frameworks
• Experience with cloud platforms like AWS or GCP
• Hands-on knowledge of data engineering tools
• Some familiarity with LLM training internals
• Robust communication skills for collaborating with research teams
Support groundbreaking ML research by enhancing our infrastructure and processes.
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📌 Ml Engineer For Scalable Infrastructure Toronto
🏢 United States Digital Space
📍 Toronto