Job Description

Overview

The  Gen AI Infrastructure and Solutions team is building large-scale  GenAI training infrastructure ,  LLM-based  solutions and tools. We provide the infrastructure for teams in  CoreAI and other Microsoft Groups to fine-tune LLMs for their own scenarios. We  also  build services and  solutions of SLMs and LLMs  for 1P&3P on Azure , like Azure Machine Translation service.

As a Senior Software Development Engineer - Gen AI Infrastructure and Solutions , you will work  on the infrastructure  and tools  to support  large scale model fine-tuning,  and evaluation. You will also  work on the service to host SLMs/LLMs for translation to  process trillions of characters per month.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Qualifications

Required/minimum 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 equivalent experience.
• 3+ years designing, developing, and shipping software.
• 2+ years of experience with distributed systems and cloud-based infrastructure.
• 1+ year of experience with DevOps practices (CI/CD, automated testing, deployment, etc.).

Other Qualifications

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field 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.
• 1+ year of experience with containerization tools (e.g., Docker , Kubernetes).
• Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

#COREAI

#AIPLATFORM

Responsibilities

As a team member of our team, you will  participate in developing innovative solutions across AI Platform. Responsibilities include the following .

• Collaborate with senior engineers and researchers to build and  optimize training  infrastructure and tools for LLMs, SLMs, multimodal, and code-specific models. 

• D esign and implement new AI features  for Azure Machine translation and  Language services.

• Design, build and improve the services with high scalability and reliability. 

• Contribute to the deployment and monitoring of  services in production environments.

• participate in the  efforts to deliver and improve engineering systems and practices to ensure s ervice quality in complex cloud environments.

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

 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

Job Tags

Ongoing contract, Full time,

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