Ai Workflow Machine Learning Engineer

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 - Strong statistical and production engineering judgment
Embrace the challenge of improving AI efficiencies across workflows at Ema while collaborating with global teams.#J-18808-Ljbffr