Microsoft Software Engineer II 

United States, Washington 

162289784

The Model scaling and Model as a service team is hiring a Senior Software Engineer. The team will focus on

1. Building the world class model serving infrastructure for GenAI Models.
2. Extend the LLM offering by building model as a service.

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.

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.

Preferred Qualifications:

• Experience on python, pytorch, large language model, generative AI.
• Experience with C# service development.
• Experience with distributed systems design and implementation.
• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
• Passion for machine learning, artificial intelligence, and data science.
• Experience working on large-scale projects or applications.
• Effective communication skills and ability to collaborate with diverse remote teams.
• Quick learner with a passion for solving complex and exciting problems.
• Familiarity with Azure is a plus.

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

Microsoft will accept applications for the role until September 20, 2024.

• Collaborate with appropriate stakeholders to comprehend and identify user requirements, scope solutions, estimate work, and schedule deliverables.
• Lead discussions for the architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture and designs.
• Lead by example within the team by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents.
• Respond, resolve, and integrate customer feedback with agility and dedication.

Other:

• Embody our and