Senior Applied Scientist

The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

The Azure AI Language team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. The Azure AI Language team provides an extensive array of AI-driven language services and offline solutions to assist customers in building intelligent applications. Joining our team presents a wonderful opportunity to collaborate with highly skilled scientists and engineers while tackling our upcoming major challenges.

We are looking for a Senior Applied Scientist to join the Azure AI for Language Science team. We’re searching for someone who’s passionate about transferring the state of the art in NLP (Natural Language Processing/Generation/Understanding). research into actual products, and about building models that can deliver scale and performance that Azure customers need. If you are passionate about solving thorny technical challenges, and helping real customers, we want to talk to you.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• You will keep a sharp eye on the latest and greatest from the broad NLGPU research and opensource community.
  •  You will develop on the state of the art of NLP research, and translate the research into new technologies that benefit real customers.
  •  You will work with engineering and program management teams to integrate models and algorithms into production systems.
•  Drive the development and execution of cutting-edge research projects in language processing/generation/understanding area.
• Leverage data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
• Communicate the results and impact of your research and development to senior leadership and external audiences through publications, presentations, and demos.
• Collaborate with product groups and other stakeholders to transfer your research and development solutions to scalable and robust products and services.
• Mentor and guide early-career scientists in the team.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

  • OR equivalent experience

Additional or Preferred Qualifications

• · Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

  o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

  o OR equivalent experience.

• Background in natural language processing, as demonstrated by a  practical experience building complex NLP systems (Natural Language Processing/Generation/Understanding).
  Stay current on trends in NLP, with a focus on representational learning, information extraction, coreference resolution, natural language generation, summarization, textual inference, question-answering, model interpretability and other related research. 
• Experience in d