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
• Solid statistical and production engineering judgment

Embrace the challenge of improving AI efficiencies across workflows at Ema while collaborating with global teams.
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📌 AI Workflow Machine Learning Engineer (British Columbia)
🏢 EMA
📍 British Columbia