Senior 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.

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Exposure to Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
• Strong leadership and collaboration skills

Preferred/Additional Qualifications:

• 3+ years of technical engineering experience with cloud services
• 1+ years technical engineering experience with Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
• Experience in designing and leading the development of distributed systems
• Knowledge of containerization technologies (i.e. Docker) and orchestration tools (e.g., Kubernetes)
• Basic understanding of DevOps practices and CI/CD pipelines
• Experience with performance optimization and tuning 

#IDCAIPlatformHiring

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. 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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
• Mentor junior engineers and actively contribute to architectural decisions
• Lead the identification and definition of new features to aligning with organizational goals and service improvements