For every hour doctors spend with their patients, they spend two hours on process and clerical tasks. And when they do meet with patients, they spend most of the time glued to their computer. We are EmpowerMD at https://aka.ms/empowermd , a product team in Microsoft Healthcare that's building ambient intelligence for the clinic at https://www.microsoft.com/en-us/research/project/empowermd/articles/project-empowermd-ambient-intelligence-for-the-clinic-2/ . This will let doctors focus on what they do best: taking care of patients. On our team, you'll have opportunities to work with the latest research and technologies in engineering, machine learning and NLP, work closely with doctors, and have a huge societal impact. This is AI for good! \#healthcare #healthai \#projectempowermd \#microsoft \#ai **Responsibilities** As a key member of our multi-disciplinary team, you will: + Develop NLP models with strong product impact for text classification, summarization, named entity recognition, and/or related NLP tasks, as we extract intelligence from human-to-human clinical dialogues + Collaborate with other scientists, researchers, domain experts and engineers to set and navigate strategic product directions + Spearhead ML recruiting, and help grow/build a diverse, inclusive, high-performing team + Work with engineers to establish effective platforms and processes + Bring your curiosity, entrepreneurial spirit, and passion to deliver on the promise of technology in a difficult, competitive, and exciting vertical **Qualifications** REQUIRED QUALIFICATIONS: + PhD in Computer Science, Math, Statistics, or related field, or Masters with equivalent product experience + 5+ years of experience in NLP, applied machine learning, and/or deep learning, with quantifiable product impact + 3+ yearsof experiencebuilding NLU/NLG models, with in-depth knowledge of state of the art in related areas such as dialogue comprehension and natural language summarization + Strong coding skills in one or more of: Python, C/C++, C#, Java, Scala + Experience with deep learning in PyTorch or Tensorflow/Keras PREFERRED QUALIFICATIONS: + Proven track record of production quality ML model deployment/development in high-performing product teams + Experience with current NLP advancements, e.g., BERT, transformers, attention, LSTMs, sequence to sequence, etc. + Experience designing experiments, and answering questions with data + Experience/interest in healthcare applications and doing the right thing, especially when it comes to safeguarding data + Experience working with interdisciplinary teams, geographically distributed teams and across organizational boundaries + Publications in ML/NLP conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML) is a plus + Experience with Clinical or Biomedical NLP is a plus + Excellent written and verbal communication skills + Willingness to be a "learn-it-all" and jump into any problem space Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form at https://careers.microsoft.com/us/en/accommodationrequest . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.