Manager

• Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence.
• Set R&D strategy that aligns with company priorities in areas like:
• - Clinical NLP, summarization, and dialogue understanding.
• - Agentic capabilities, retrieval-augmented generation, reasoning, and tool-use.
• - Multimodal and multilingual algorithms.
• - Reinforcement learning, preference optimization, and reward modeling.
• - Robustness, safety, and evaluation of LLM-powered systems.
• Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship.
• Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems.
• Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency.
• Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI.
• Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships.

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