Software Engineering IC3

Microsoft•Redmond, WA

5d•Hybrid

About The Position

The Bing Multimedia team is building the next generation of AI-powered visual discovery, helping people explore, understand, and make decisions through images at global scale. We develop the systems behind Bing Image Search and multimodal experiences across Microsoft’s AI ecosystem. As a Software Engineer on the Image Search Experience team, you will design, build, and improve services and product experiences that combine multimodal understanding, large language models, and scalable distributed systems. You will work closely with engineers, product managers, designers, and data scientists to deliver rich, responsive, and reliable visual experiences that help users search, explore, and interact with images in new ways. This role is a solid opportunity to grow as an engineer while working on cutting-edge AI experiences used by millions of people worldwide. You will contribute to production systems end-to-end, learn from senior engineers and technical leaders, and help shape the future of multimedia search through high-impact engineering work. 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.

Requirements

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.

Nice To Haves

Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
2+ years of experience building and shipping production software.
Experience with backend services, distributed systems, or cloud-based applications.
Ability to design, implement, and maintain scalable and reliable software components.
Familiarity with AI/ML-enabled product development.
Experience using data, metrics, or experimentation to drive engineering improvements.
Experience building search, recommendation, or large-scale content discovery systems.
Familiarity with LLMs, multimodal AI, or AI-powered product experiences.
Experience with evaluation, experimentation, or quality metrics for user-facing systems.
Background in image processing, computer vision, or content understanding.
Demonstrated ability to collaborate effectively, share knowledge, and contribute to engineering best practices.
Solid product sense and ability to balance user value, technical tradeoffs, and operational needs.

Responsibilities

Build and improve AI-powered image search experiences that better understand user intent and context.
Develop and ship production features and services across key product and platform areas.
Apply LLM and multimodal AI capabilities to improve relevance, usefulness, and overall experience quality.
Help create intelligent, adaptive experiences that support user exploration and decision-making.
Design and operate scalable systems with sold performance, reliability, and efficiency.
Use metrics, experiments, and user feedback to measure impact and guide improvements.
Collaborate across engineering, product, design, and data science, while growing technical ownership and contributing to design and code reviews.

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