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Showing 141-150 of 150 jobs

Formal Verification Engineer (Rust)
Inner Circle Agency
Stale - posted 31 days ago

Lead Software Engineer - DoDAF
Peraton
Stale - posted 31 days ago

Software-Defined Networking Engineer
Canonical
Stale - posted 31 days ago

AI Infrastructure Engineer, Model Serving Platform
Scale AI
Stale - posted 31 days ago

Protocol Engineer - Vice President
Galaxy
Stale - posted 31 days ago

Founding AI Engineer
Catapult
Stale - posted 31 days ago

Electrical Test Engineer
Saronic Technologies
Stale - posted 31 days ago

Senior Principal Software Engineer
Atlassian
Stale - posted 31 days ago

Protocol Engineer
OP Labs PBC
Stale - posted 31 days ago

Senior Staff Engineer
MongoDB
Stale - posted 31 days ago

Member of Technical Staff - Software Engineer
Microsoft
Active - posted 9 days ago
Job Description
About Microsoft
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.
Key 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.
Requirements
- Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin.
- 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.
Preferred qualifications
- 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.