Member of Technical Staff, Senior/Staff MLE

Strong ML fundamentals and ability to frame problems as ML solutions. Fluency with Python and core ML/LLM frameworks. Experience with large-scale datasets and distributed training or inference pipelines. Understanding of LLM architectures, tuning techniques, and evaluation methodologies. Demonstrated ability to meaningfully shape LLM performance. Experience engaging directly with customers or stakeholders to design and deliver ML-powered solutions. Track record of technical leadership at a team level. Broad view of the ML research landscape and desire to push the state of the art.

Lead the design and delivery of custom LLM solutions for enterprise customers. Translate ambiguous business problems into ML problems with clear success criteria. Build custom models using Cohere’s foundation model stack, CPT recipes, and post-training pipelines. Develop SOTA modeling techniques to enhance model performance. Contribute improvements back to the foundation-model stack. Work closely with enterprise customers to identify high-value opportunities for LLMs. Provide technical leadership across discovery, scoping, modeling, deployment, and iteration. Establish evaluation frameworks and success metrics for custom modeling engagements. Mentor engineers across distributed teams. Drive clarity, build alignment, and raise engineering and modeling quality.