Contribute to AI innovation as a Machine Learning Engineer with Mercor on the Frontier Code Agents project. Evaluate and optimize advanced AI coding models to drive efficiency.Mercor seeks skilled ML Engineers to support evaluating frontier AI coding models through structured assessments. You will engage in tasks that involve model training, inference systems, and identifying performance issues. This role is an excellent chance to apply your knowledge in real-world ML engineering workflows.Key Responsibilities:Utilize AI agents to evaluate ML engineering tasksReview bug findings and edge cases in modelsAnalyze outputs from various AI modelsMake performance comparisons across frontier modelsUtilize engineering judgment in realistic ML scenariosRequirements:Minimum of 2 years in machine learning engineeringProven experience with AI systems or LLM applicationsProficiency in AI coding tools like Cursor or CodexSkill in evaluating technical implementations and tradeoffsExperience deploying production ML systems preferredDrive innovation in ML engineering with Mercor and tackle exciting challenges.#J-18808-Ljbffr
📌 Machine Learning Engineer For Ai Models (Toronto)
🏢 Mercor
📍 Toronto
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