Principal Applied Scientist

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and sky is the limit thinking in a cloud-enabled world.

The Artificial Intelligence (AI) Core Platform and Tools 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.

We are looking to hire a Principal Applied Scientist to join our team.

 
Within AI Core Platform and Tools, the AI Platform team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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.

Responsibilities

You will be a technical leader, working closely with other leaders, colleagues, and customers from various business domains to drive Responsible AI product innovation.

• Drive innovations in AI Safety models and algorithms, keeping engineering resource consumption in mind.
• Lead and participate in design, implementation, and execution across a variety of features including analyzing Machine Learning/Deep Learning (ML/DL) models and creating actionable, data-driven insights.
• Analyze complex, high-volume, high-dimensionality data.
• Collaborate with a team of world-class scientists and engineers to solve very challenging problems.
• Invest in others’ growth.
• This role requires a deep understanding of generative AI use cases and responsible AI, a keen sense of model development to support responsible AI commitments while keeping product innovation in mind, and a technical background to develop responsible AI measurement and mitigation techniques.
• Embody our culture and values

Qualifications

Required/Minimum Qualifications

• Doctorate in relevant field AND 3+ years related-research experience
  • OR equivalent experience.

• 3+ years of experience in machine learning, deep learning and/or related fields.
• 3+ years of experience in software development experience in languages such as Python, Java, C++, Scala, or C#.
• 3+ years of experience in data science and data reporting.

Other Requirements 

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: 

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

Additional or Preferred Qualifications 

• Doctorate in relevant field AND 5+ years related-research experience
  • OR equivalent experience.
• Experience publishing academic papers as a lead author or essential contributor.
• Experience participating in a top conference in relevant-research domain.

• 3+ year experience developing end to end Machine Learning/Deep Learning (ML/DL) engineering systems.
• 3+ year experience in distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos).
• Experience working in the Gen Artifi