Machine Learning / NLP Research Scientist

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Machine Learning / NLP Research Scientist - (REMOTE) (multiple opportiunities at various levels) Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. We are in search of research scientists who are proficient in machine learning and natural language processing to join our innovative team. The ideal candidate will possess a deep understanding of foundation models, a keen interest in healthcare applications, and the ability to think critically and solve complex problems. Our work is deeply rooted in research, with every member of our team contributing to the development of real-world applications that significantly benefit healthcare professionals. **What You'll Do** Push the boundaries of medical NLP research, focusing on conversation summarization, evidence extraction, outcome prediction, and developing new evaluation techniques and experimental approaches. Engage with the broader research community by disseminating original research findings and insights. Tackle significant challenges, set benchmarks, innovate state-of-the-art methodologies, and integrate them into practical applications. Utilize feedback from healthcare professionals to drive continuous improvement and innovation in our solutions. Approach ambiguous challenges and uncertain results with a results-driven mindset. **What You'll Bring** A solid research foundation, evidenced by publications and an advanced degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or a related field. Contributions to leading AI conferences (e.g., *CL, NeurIPS, ICML, ICLR) through high-impact publications. Demonstrated real-world impact via open source contributions and the deployment of technologies. Proficient programming skills and experience in developing, prototyping, and implementing machine learning solutions in a production environment. Familiarity with deep learning frameworks (e.g., PyTorch, Jax, TensorFlow), experience with multi-GPU training, and a strong capability in statistical analysis of both observational and experimental data. Originally posted on Himalayas

机器学习/自然语言处理研究科学家 - （远程）（多个不同级别的机会）我们的客户处于应用机器学习研究的前沿，致力于改变医学对话被理解和利用的方式。我们正在寻找精通机器学习和自然语言处理的研究科学家加入我们的创新团队。理想的候选人将对基础模型有深入理解，对医疗应用有浓厚兴趣，并具备批判性思维和解决复杂问题的能力。我们的工作深深植根于研究，团队每一位成员都为开发真正惠及医疗专业人员的实际应用做出贡献。**你将做什么** 推动医学NLP研究的边界，重点关注对话摘要、证据提取、结果预测，以及开发新的评估技术和实验方法。通过传播原创研究成果和见解，与更广泛的研究社区互动。应对重大挑战，设定基准，创新最先进的方法论，并将其整合到实际应用中。利用医疗专业人员的反馈，推动我们解决方案的持续改进和创新。以结果导向的心态应对模糊的挑战和不确定的结果。**你将带来什么** 扎实的研究基础，以发表成果和电气工程、计算机科学、数学或相关领域的高级学位（硕士或博士）为证。通过高影响力出版物对领先AI会议（如*CL、NeurIPS、ICML、ICLR）做出贡献。通过开源贡献和技术部署展示的实际影响力。熟练的编程技能以及在生产环境中开发、原型设计和实施机器学习解决方案的经验。熟悉深度学习框架（如PyTorch、Jax、TensorFlow），具有多GPU训练经验，并具备对观察数据和实验数据进行统计分析的有力能力。原发布于Himalayas

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