Software Engineer

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 the sky is the limit thinking in a cloud-enabled world.

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.

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.

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

Required Qualifications:
 • Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred/Additional Qualifications:
· Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Go, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Go, Java, JavaScript, or Python OR equivalent experience.

• Exposure to cloud services
• Exposure to Deep Neural Network training and inference
• Knowledge of containerization technologies (i.e. Docker)
• Basic understanding of DevOps practices 

#IDCAIPPlatformHiring

• Work directly with data scientists and researchers to deliver high quality machine learning models.
• Collaborate effectively with other engineers to build and maintain distributed machine learning systems.
• Demonstrate keen attention to detail and data interpretation skills to effectively monitor, troubleshoot, and diagnose issues in a live site system.