דרושים Chief Staff Coreai ב-Microsoft ב-Taiwan, Taoyuan City

Required/Minimum Qualifications

• Bachelor'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#, Java, C++, Go
  • OR equivalent experience.
• 4+ years of experience managing software engineering teams
• 4+ years of experience with distributed systems, microservices, and container orchestration technologies (e.g., Kubernetes, Docker)
• 4+ years of experience with CI/CD pipelines and developer tooling (e.g., GitHub, Azure DevOps)
• 4+ years of experience building and maintaining infrastructure platforms and product APIs with a focus on usability, extensibility, scale and performance

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• Experience leading teams building infrastructure platforms, APIs, or orchestration frameworks
• Understanding of cloud-native architecture, asynchronous workflows, and service mesh technologies
• Familiarity with agent-based systems, workflow engines, or declarative programming models
• Ability to drive clarity in ambiguous, early-stage platform development
• Experience collaborating with product and design to shape abstractions and reference implementations
• Mentorship skills and a track record of fostering technical excellence and inclusive team culture
• Experience in AI/ML infrastructure, inferencing systems, or high-scale platform engineering
• Hands-on experience with Microsoft Azure services such as AKS, Azure Functions, and Event Grid, CosmosDb
• Demonstrated experience driving AI usage and adoption in platform or product development, including integrating AI capabilities into services or enabling AI-powered developer experiences

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Lead and grow a team of software engineers focused on building scalable, cloud-native inferencing services and orchestration layers.
• Partner with product, research, and platform teams to define requirements and deliver robust, extensible infrastructure platforms and product APIs.
• Drive architectural decisions and technical strategy for inferencing control systems, ensuring high availability, performance, and cost efficiency.
• Guide the team in designing and implementing distributed systems that support dynamic routing, load balancing, and execution of AI workloads.
• Ensure engineering excellence through code reviews, design reviews, and mentoring, fostering a culture of innovation and inclusion.
• Own the operational health of services, including on-call rotations, incident response, and continuous improvement of reliability metrics.
• Collaborate across CoreAI and Microsoft to align on platform integration, security, and compliance requirements.
• Champion developer experience and usability in SDKs and tooling, enabling seamless integration with agentic and generative AI platforms.

At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Ourmission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem.

We’re looking for aSenior Data Scientist - CoreAIcommunication withexecutive leadership and sales,the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.

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.

our culture every day.

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
      • OR equivalent experience
• 1+ years ofexperience leading data science and analytics projects thatdeliveredmeasurable product and growth wins

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• 3+ years of experience leading data science and analytics projects thatdeliveredmeasurable product and growth wins
• 3+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R
• 3+ years of experience designing and analyzing experiments and causal inference studies
• 1+ years of experiencecontributing to scaled datapipelines supportingoperationalized reports,modelsandanalyses
• Experience using AI tools in data science and analytics workflows
• Experience both prototyping anddeploying data products

Data Science 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:

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

• Supply executives with time-critical analyses thatsteersmajor investment decisions.
• Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
• Identifyand prioritize high ROIdata opportunitiesfor your individual work and the broader team.
• Contribute actively totheinfrastructure and cultureneededtoscalequantity and quality of data insightsacrossCoreAI.
• Mentor other data scientists, engineers, and Product/Program Managers.
• Operationalize models and reporting.
• Leverage AI to accelerate workflows and amplify team productivity.

We’re looking for engineers who share our belief that AI will fundamentally transform software development and who are eager to help shape that future. You will collaborate with experienced engineers, engage with the open-source community, and contribute to platforms that redefine how developers build, debug, and ship software. Our work spans from high-level developer experience to deep technical systems that require a strong understanding of low-level programming concepts such as memory management, performance optimization, and system architecture.

• Bachelor’s or master’s degree in computer science or a related field, or equivalent work experience.
• Solid programming skills in one or more of the following languages: C#, Java, C++, or Python.
• Passion for developer experience and an eagerness to understand what makes great tools.
• Excellent written and verbal communication skills with the ability to collaborate across diverse, distributed teams.

• Design and develop robust, scalable, and maintainable software components that power modern developer tools.
• Leverage AI-powered technologies (e.g., GitHub Copilot, LLM-based code tools) to accelerate engineering workflows and contribute to the development of AI-assisted features.
• Dogfood internal AI tools and platforms, providing feedback and insights to improve usability, reliability, and effectiveness.
• Collaborate with engineers across product teams and the open-source community to co-design and iterate on developer experiences.
• Participate in code reviews, architectural discussions, and agile ceremonies, fostering a culture of technical excellence and continuous learning.
• Research and experiment with emerging AI techniques and integrate them into everyday engineering practices to boost productivity.

The era of AI is transforming developer tools. TheData and Artificial Intelligence (Data+AI) team

This position is for a
Senior Software Engineer - CoreAIeager to work on developer scenarios and who is passionate about the opportunities AI models create and the development strategies that build products around them. The role requires creativity, tenacity, and critical thinking to work with these novel technologies. In this role, you will collaborate with IDE and coding language teams, data scientists, and internal and external LLM provider partners across the globe and time zones.

The role has two main focuses. First, building tools and systems to measure, evaluate, and compare advanced AI developer productivity features at scale. You will work closely with product teams to run experiments, evaluate, iterate, and improve developer products. Second, supporting forward-looking exploration with rapid prototyping, development, and delivery of cutting-edge developer tools.

Required/Minimum Qualifications:

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• 2+ years of experience with AI LLM models, such as OpenAI, Azure AI, ML
• Ability to excel in a research-driven, experimental environment by embracing iterative development and shipping
• Proficiency in at least one modern programming language such as TypeScript, Python, C#, Java
• Experience working with or delivering AI-assisted developer tools
• Relevant experience running a 24/7 Azure based services
• Detailed knowledge of object-oriented design and programming, Test Driven Development approaches, and distributed cloud architectures
• Growth mindset with a desire to continually learn and apply new skills to a broad range of projects as you dig into complex problems and create solutions that scale to a large system and codebase
• Possess interpersonal skills necessary to articulate design choices and the importance of our security deliverables
• Experience working with experimentation systems, telemetry systems and data to drive engineering and product decision making
• Customer focus and a deep commitment to delivering products that create customer value and delightful experiences

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Works with appropriate stakeholders to determine user requirements for a feature.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.