Ema is seeking a Machine Learning Software Engineer to enhance AI employee performance through innovative 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 analyses

Requirements: • Master's or PhD 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 judgment

Embrace the challenge of improving AI efficiencies across workflows at Ema while collaborating with global teams. #J-18808-Ljbffr

📌 AI Workflow Machine Learning Engineer (Winnipeg)
🏢 EMA
📍 Winnipeg