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Are you passionate about shaping the future of AI? Join us! You will work in Responsible AI group in Azure AI Platform. Our mission is to empower developers and data scientists around the world and of all skill levels to easily add responsible AI capabilities to their apps.

You will work on building products and services that are widely integrated with Azure AI Studio, Azure OpenAI, Azure ML, Cognitive Services, etc., and contribute to the Microsoft AI family. In this group, you will focus on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content.

We are looking for talents who are passionate about building customer-facing AI services with excellent customer experience, scalable and sustainable architecture, implementation and with high performance, low latency, and high availability. 

In this role, you will work with a unique group of talented engineers, designers, and applied scientists to build the industry's best Responsible AI measurement, mitigation, and monitoring services. You will design and implement new AI services and integration with existing services such as Azure AI Studio, Azure AI Content Safety, Azure OpenAI Service, and more.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Responsibilities

• Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., project managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Escalates any issues that would cause a delay.

• Identifiesareas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards.

• Supports efforts to apply debugging tools and examines logs, telemetry, and other methods to verify assumptions proactively before issues occur and reactively as issues occur for product features. Conducts retrospective debugging of solutions to identify root causes of problems.

• Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.

• Reviews code of a product feature to assure it meets the team's and Microsoft's quality standards, is reliable and accurate and is appropriate for the scale of the product feature. Applies feedback to current and future iterations. Participates in code reviews to ensure coding standards are followed. Considers diagnosability, reliability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and screens for coding patterns and best practices in reviews.

• Contributes to the development of automation within production and deployment of a complex product feature. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.

• Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, a related technical discipline, or equivalent experience.

• Solid foundation and over 3 years of experience in frontend development, including proficiency in JavaScript/TypeScript, React, and other relevant technologies.

• Basic understanding of graphic design principles and skills.

• Knowledge of AI technology products and tools.

• Strong awareness of quality standards and experience in building high-quality web applications.

• Proven ability to collaborate across disciplines and teams.

• Self-learning ability, self-motivation, and a growth mindset.

Preferred Quali fications

• Proven experience in developing SDKs, reusable platforms, or frameworks.

• Ability to generate clarity and direction in ambiguous situations.

• Comprehensive full stack development capabilities, with a strong emphasis on C# and/or Java.

• Experience in developing cutting-edge AI products and applications, with a deep understanding of AI technology and customer requirements.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .