Software Engineer 2

Microsoft is a leading technology company pioneering AI and cloud computing solutions through its Azure platform.
Machine Learning
Mid-Level Software Engineer
Hybrid
4+ years of experience
AI · Enterprise SaaS

Description For Software Engineer 2

Microsoft's Azure AI Platform team is at the forefront of artificial intelligence innovation, focusing on cutting-edge technologies and problems. The Models as a Service team is building and scaling the largest engineering system for Large Language Models and GenAI Models in the industry. The role involves working with generative AI, large language models, transformers, and GPU optimization. You'll be part of a team that enables data scientists and developers to build, train, deploy, manage, and consume machine learning models. Key focus areas include scaling inferencing cloud for AOAI Service, expanding Gen AI Model offerings, and providing unified experiences across AOAI and MAAS/MAAP for Azure AI customers. This position offers the opportunity to work with rapidly growing AI business and impact a large customer base while gaining extensive experience in the latest AI technologies.

Last updated 3 months ago

Responsibilities For Software Engineer 2

  • Collaborate with stakeholders to determine user requirements
  • Participate in discussions on the architecture of products/solutions
  • Produce extensible and maintainable code
  • Apply debugging tools and examine logs to verify assumptions
  • Respond, resolve, and integrate customer feedback with agility

Requirements For Software Engineer 2

Python
Java
JavaScript
  • Bachelor's degree in computer science or related technical discipline
  • 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass Microsoft Cloud background check upon hire and every two years

Benefits For Software Engineer 2

Medical Insurance
Education Budget
Parental Leave
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

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