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Job Details
Posted date: Oct 30, 2025
Category: Software Engineering
Location: Redmond, WA
Estimated salary: $188,900
Range: $119,800 - $258,000
Employment type: Full-Time
Work location type: 3 days / week in-office
Role: Individual Contributor
Description
Senior Software Engineer- M365 Copilot Create teamAre you a model-forward engineer with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us, as we grow the M365 Copilot Create team, where we are revolutionizing visual creation in M365 Copilot. Based in Mountain View, California, and Redmond, Washington, our team is dedicated to redefining the future of visual creation. We focus on developing intent-first visual artifacts through advanced machine learning pipelines, enabling users to effortlessly generate, customize, and edit high-quality visuals that meet their specific needs.
As a Senior Software Engineer on the Create team, you will shape next-generation visual creation experiences for millions of users. In this role, you’ll leverage cutting-edge AI models to build intuitive, intelligent, and inclusive design solutions. Working in a dynamic environment, you’ll collaborate with cross-functional teams to deliver innovations that redefine how people create and customize visuals in M365 Copilot.
This role is eligible to be based on-site in Mountain View, California or Redmond, Washington.
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.
Design and implement scalable backend services optimized for machine learning workflows and large language model integration. Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences. Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale. Collaborate with product, Machine Learning, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance. Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience. Monitor and troubleshoot production systems, ensuring reliability, scalability, and compliance with performance benchmarks. Embody the Microsoft culture and values .
Qualifications
Required 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. 1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models. 2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation.2+ years of experience building software for scale, performance, and reliability.
Other Requirements:
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:
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. Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category) Experience leveraging leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members. Experience demonstrating a growth mindset, and an advocate for inclusive development. Experience working on the design and implementation of a user-facing product - from fast, evolving new features to long-range infrastructure and architecture investments. Experience demonstrating customer focus and passionate about product impact.
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: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until November 10, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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