ML Tech Lead Manager

ML Tech Lead Manager ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge is building an AI platform for clinical conversations to solve the administrative burdens of medicine, freeing clinicians to focus on patient care. Our technology is rapidly expanding to support clinicians through a richer suite of interactions—helping them to make better informed decisions and to navigate medicine’s financial processes. Abridge improves patient outcomes and access to care, enables clinicians to focus on what matters most, and lowers costs for health systems. We are seeking a ML Tech Lead Manager to drive the next generation of our AI platform—scientifically rigorous, reliable in production, and optimized for the real-world complexity of healthcare. In this role, you will lead a team of ML Scientists who leverage natural language processing techniques and large language models to build compelling products and conduct scientific research. You and your team will be working closely with engineering, product, and clinicians. You will shape research strategy, ensure translation of research into production systems, and set the scientific standard for how Abridge advances state-of-the-art NLP for medicine. This is a unique opportunity to lead a high-impact group of applied scientists, building foundational methods and mentoring top talent at the intersection of machine learning and healthcare. WHAT YOU’LL DO - 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. WHAT YOU’LL BRING - A strong researcher and technologist with 7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems. - 3+ years of experience as technical lead for a project of 4 or more individuals. - 2+ years of direct management experience, man ... (truncated, view full listing at source)