Software Engineer II

Microsoft empowers every person and organization on the planet to achieve more through technology and cloud solutions.
$98,300 - $193,200
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS · Cloud

Description For Software Engineer II

Microsoft's Azure Machine Learning team is seeking a Software Engineer II to join their Inference team, focusing on next-generation model serving including hosting OAI models like ChatGPT, Bing, and Office scale implementations. The role involves building highly reliable and available platforms for model inferencing at scale, working on high throughput/low latency scenarios, and driving performance optimization capabilities. The position is part of Microsoft's broader mission to democratize ML and make it available to every enterprise, developer, and data scientist. The team currently serves billions of requests per day on cutting-edge scenarios and models across the company. This is an excellent opportunity for engineers passionate about AI, distributed systems, and large-scale applications, offering a hybrid work environment with up to 50% work from home flexibility. The role provides competitive compensation, comprehensive benefits, and the chance to work with diverse, remote teams on innovative AI solutions.

Last updated 6 hours ago

Responsibilities For Software Engineer II

  • Design, code and test components of the product
  • Work closely with senior engineers and leaders
  • Own the end-to-end life cycle of features from inception to managing it live on production

Requirements For Software Engineer II

Python
Java
JavaScript
  • Bachelor's degree in computer science or related technical field
  • 2+ years technical engineering experience with coding
  • 2+ years experience developing Microservices
  • 2+ years experience with C#
  • Must pass Microsoft Cloud Background Check

Benefits For Software Engineer II

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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