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Revolutionizing Healthcare through AI: Join Abridge as a Machine Learning Science Manager Abridge is at the forefront of transforming the healthcare industry with its AI-powered platform, designed to enhance clinical documentation efficiencies and improve patient care. Founded in 2018, the company has been pioneering the use of generative AI in healthcare, setting industry standards for responsible AI deployment. As a growing team of clinicians, AI scientists, and technologists, Abridge is now seeking an experienced Machine Learning Science Manager to lead its research team in advancing medical NLP and developing innovative solutions. The Role: Leading Research and Innovation in Medical NLP As a Machine Learning Science Manager at Abridge, you will be responsible for leading a team of research scientists in driving the advancement of medical NLP, focusing on areas such as conversation summarization, evidence extraction, and outcome prediction. You will contribute to the development of state-of-the-art methods, integrate them into production, and collaborate with clinicians to gather feedback and guide further refinements. Key Responsibilities: Lead and Manage Research Team: Oversee a team of research scientists, providing guidance, mentorship, and support to foster their growth and ensure the success of research projects. Advance Medical NLP: Drive the advancement of the state of the art in medical NLP, focusing on areas such as conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation. Contribute Research: Actively contribute to the wider research community by sharing and publishing original research, and encourage team members to do the same. Define and Develop Solutions: Collaborate with the team to define important problems, identify appropriate baselines, develop state-of-the-art methods, and integrate them into production. Incorporate Feedback: Engage with clinicians to gather real-time feedback, guiding further refinements and innovations in products. Results-Oriented Approach: Maintain a focus on results in the face of ambiguous problems and uncertain outcomes, ensuring that research initiatives have a tangible impact. Essential Qualifications: Technical Expertise: Demonstrated technical mastery through papers and advanced graduate degrees in Computer Science, Electrical Engineering, Mathematics, or equivalent experience. Leadership Experience: Proven ability to lead and manage a team, providing both technical and professional guidance. Significant Contributions: Significant contributions to open-source and deployed technology, showcasing the real-world impact of your work. Programming Skills: Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production. Experience with Deep Learning: Experience with deep learning libraries (e.g., PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Publication Track Record: Proven track record of high-impact publications at peer-reviewed AI conferences (e.g., *CL, NeurIPS, ICML, ICLR). Preferred Qualifications: Experience in Healthcare: Genuine interest in the medical domain and experience working on healthcare-related projects. LLM-Based Experiences: Proven experience shipping inspiring LLM-based experiences. Skills and Competencies: Critical Thinking: Strong critical thinking skills to tackle complex problems and develop innovative solutions. Collaboration: Ability to collaborate effectively with cross-functional teams, including clinicians and product developers. Communication: Excellent communication skills to share research findings and guide further refinements. Career Growth Opportunities and Learning Benefits: At Abridge, you will have the opportunity to work on cutting-edge projects, collaborate with talented individuals, and contribute to the development of innovative solutions. The company provides a Learning and Development budget of $3,000 per year for coaching, courses, workshops, and conferences. You will also have access to a flexible and dynamic work environment that encourages growth and learning. Work Environment and Company Culture: Abridge offers a hybrid remote work arrangement, with the expectation of coming into the San Francisco office at least three times per week. The company values diversity and inclusion, actively welcoming applicants from all backgrounds. Abridge provides a range of benefits, including flexible/unlimited PTO, equity, medical insurance, dental and vision insurance, flexible spending and health savings accounts, 401k plan, paid parental leave, and flexible working hours. Compensation and Perks: The base salary for this role ranges from $250,000 to $300,000+ per year, depending on location, experience, and qualifications. Abridge also offers a competitive equity package, as well as a range of benefits and perks, including a home office budget, sabbatical leave, and more. Join Abridge: Be Part of a Trailblazing Organization If you are a motivated and experienced Machine Learning Science Manager looking to make a meaningful impact in the healthcare industry, Abridge is the perfect opportunity. With its innovative AI-powered platform and commitment to responsible AI deployment, Abridge is revolutionizing the way healthcare is delivered. Join the team and be part of a trailblazing organization that is powering deeper understanding in healthcare through AI. To apply, please submit your application through our website. We look forward to hearing from you! Apply for this job