Member of Technical Staff - Software Engineer, Health AI

Microsoft•New York, NY

2d•$142,800 - $331,200•Hybrid

About The Position

At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys. We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research—like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)—into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem. We’re looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre. We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from you. 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 6+ 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 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Experience in healthcare technology, particularly with regulated medical devices.
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.
Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.

Responsibilities

Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
Own the end-to-end development of features, from ideation and specification through to deployment and iteration.
Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
Work independently across a wide range of our stack, shipping delightful user experiences.
Ensure resilience, maintainability, and security above all else.
Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.