ML Engineer – Toronto

The role involves using frontier AI coding agents to perform complex machine learning and AI engineering tasks, reviewing model-generated implementations including training, inference, and LLM applications. The engineer will identify bugs, edge cases, performance issues, and failure modes, and compare outputs from multiple models to assess their strengths and weaknesses. Applying professional engineering judgment to realistic ML scenarios is essential for this position. Candidates should have experience building production ML systems, deploying models, and working with AI-powered products, with regular use of tools like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI. The work is remote, and the role offers payment per accepted task based on successful work completion. Skills in evaluating model outputs and understanding AI deployment are key requirements.