Software Engineer II
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 Azures innovation and differentiation, as well as all of Microsofts 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
Responsibilities
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.
Qualifications
Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 2+ 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 cloud services
Preferred/Additional Qualifications
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years of technical engineering experience with cloud services
Exposure to Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
Knowledge of containerization technologies (i.e. Docker) and orchestration tools (e.g., Kubernetes)
Basic understanding of DevOps practices and CI/CD pipelines
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations
Apply Now
The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azures innovation and differentiation, as well as all of Microsofts 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
Responsibilities
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.
Qualifications
Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 2+ 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 cloud services
Preferred/Additional Qualifications
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years of technical engineering experience with cloud services
Exposure to Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
Knowledge of containerization technologies (i.e. Docker) and orchestration tools (e.g., Kubernetes)
Basic understanding of DevOps practices and CI/CD pipelines
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations
Apply Now