Senior Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling

Design and implement scalable simulation and evaluation frameworks for LLM-based agents in realistic environments. Collaborate with ML researchers to translate novel reasoning approaches into production-grade systems. Build infrastructure for training, experimentation, and benchmarking of agentic behaviors and LLMs. Integrate agent reasoning capabilities into client-side and backend environments to enable seamless voice-driven interactions. Develop end-to-end tooling for training, simulation, evaluation, and deployment to accelerate iteration. Contribute to platform architecture and ensure reliable, trustworthy AI agents through robust testing and evaluation.