Ema is seeking a Machine Learning Software Engineer to enhance AI employee performance through cutting-edge workflows. Engage in applied research and engineering to optimize agent behavior in diverse enterprise applications.As a key member of Ema's ML team, you will explore advanced techniques like reinforcement learning and retrieval systems. Your role will focus on building self-improvement loops and developing multi-step agents across various modalities. Projects typically span four to six months, with tangible improvements shipped continuously throughout.Key Responsibilities:
Design contexts and tools for multi-step agents
Curate training environments and optimize agent tasks
Build self-improvement loops with evaluation gates




Debug across model and system boundaries
Monitor deployment and conduct failure analysesRequirements:
Master's or Ph D in relevant field or equivalent
Experience with agent/tool-use systems or evaluation design
Proven ownership of a project from ambiguous to working
Familiarity with reinforcement learning environments
Robust statistical and production engineering judgmentEmbrace the challenge of improving AI efficiencies across workflows at Ema while collaborating with global teams.#J-18808-Ljbffr

📌 Ai Workflow Machine Learning Engineer Vancouver (Canada)
🏢 Anonymous
📍 Canada