Member of Technical Staff, AI Platform Engineer

Microsoft Microsoft · Big Tech · Mountain View, CA +1 · Software Engineering

This role focuses on engineering user-facing AI features for Microsoft's personal AI, Copilot. The engineer will own the development lifecycle from inception to delivery, build secure and performant AI platform services, and collaborate with researchers and other engineers to create next-generation AI products. The role emphasizes shipping high-quality, well-tested, secure, and maintainable code within a fast-paced product development cycle.

What you'd actually do

  1. Work on building new AI features that enhance copilot.
  2. Build secure and performant AI Platform services that power Copilot.
  3. Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services.
  4. Ship high-quality, well-tested, secure, and maintainable code.
  5. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Skills

Required

  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang
  • Experience leveraging generative AI technologies to develop innovative and user-focused product features.
  • 4+ years' experience building APIs and creating pipelines for large-scale products
  • 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.

Nice to have

  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

What the JD emphasized

  • customer-facing applications/products
  • generative AI technologies
  • large-scale products
  • public cloud infrastructure

Other signals

  • crafting user-facing features powered by Generative AI
  • ownership of development from inception to delivery
  • building secure and performant AI Platform services
  • build next generation AI products and services