Senior Software Engineer at Microsoft Nuance

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

234700.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI-Powered Systems, Backend Platforms, User-Facing Experiences, Multimodal Understanding, Large Language Models, Distributed Services, APIs, Front-End, Image Search, System Design, C, C++, C#, Java, JavaScript, Python

Industry

Software Development

Description

Overview The Bing Multimedia team is shaping the next generation of AI-powered visual discovery, helping people explore, understand, and make decisions through images at global scale. We build the intelligent systems that power Bing Image Search and multimodal experiences across Microsoft’s AI ecosystem. As a Senior Software Engineer on the Image Search Experience team, you will design and build AI-powered systems that span both backend platforms and user-facing experiences. You will work with multimodal understanding, large language models, and scalable distributed services to deliver rich, adaptive visual experiences across the stack. This role includes building core services and APIs as well as front-end and experience-layer components that bring intelligent visual discovery to life for users. This role offers the opportunity to work on large-scale, production-grade AI experiences used by millions of people worldwide, while growing your technical depth, driving end-to-end execution, and contributing to the evolution of Bing’s visual search platform. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Design and build AI-powered image search capabilities, helping intelligent systems understand user intent, adapt to context, and deliver meaningful visual experiences at global scale. Own key product and platform components end to end, translating user and business needs into scalable system designs and production-ready solutions. Apply large language models and multimodal AI in production, integrating reasoning and grounding capabilities to improve relevance, usefulness, and overall experience quality. Build intelligent, adaptive experiences across the stack, contributing to both backend services and user-facing components that help users explore, refine, and act on visual information. Design, implement, and operate scalable platforms and services, maintaining high standards for performance, reliability, maintainability, and efficiency under real-world workloads. Use metrics, experimentation, and user feedback to evaluate impact, guide engineering tradeoffs, and continuously improve product quality. Collaborate closely across engineering, product, design, data science, and platform teams, contributing to architecture discussions, code quality, and engineering best practices while helping raise the bar for the team. 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. Preferred Qualifications: Experience building search, recommendation, or large-scale information retrieval systems. Hands-on experience applying LLMs, multimodal AI, or AI-driven reasoning systems in production environments. Experience designing evaluation frameworks, experimentation approaches, and quality metrics for AI-powered systems. Background in image processing, computer vision, or content understanding pipelines. Experience mentoring engineers, contributing to engineering best practices, and helping raise technical quality across a team. Solid product intuition, with the ability to balance user value, technical complexity, and operational constraints. #MicrosoftAI 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and build AI-powered image search capabilities to help intelligent systems understand user intent and context at a global scale. Own key product and platform components end-to-end, integrating large language models and multimodal AI into production systems.