Senior Software Engineer - Responsible AI - CoreAI

Microsoft
Mountain View, CA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$119,800.0 - $234,700.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Microsoft Online Services C Sharp (Programming Language) C++ (Programming Language) Continuous Integration DevOps Distributed Systems Python (Programming Language) Machine Learning
+11 more
Routing Software Architecture Systems Development Life Cycle Cloud Services Software Engineering System Availability AI Platforms Low Latency Deployment Automation Azure OpenAI API Azure AI

Job description

TheResponsible AIgroup focuses onidentifying, measuring, mitigating, andmonitoringResponsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We are looking for aPrincipal Software Engineer - Responsible AIwho is passionate about building customer-facing AI services with scalable and sustainable architecture and implementation and with high performance, low latency, and high availability. In this role, you will work with a unique group of talented engineers, scientists, and product managers to build the industry’s best Responsible AI services. You will own the design of new AI services and integration with existing services such as Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and more.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Responsibilities:

  • Design and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability.

  • Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans.

  • Take end-to-end responsibility for thedevelopmentlifecycle and production readiness of the services you build and drive the team’s DevOps culture.

  • Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry.

  • Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers.

  • Embrace a growth mindset and stay up to date with the current andstate-of-the-arttechnologies to improve customer experience and better serve the product’s business needs.

Requirements

  • Bachelor’s Degree in Computer Scienceor related technical field AND4+ yearstechnical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Other Requirements:

Abilityto meet Microsoft,customerand/or government security screening requirements arerequiredfor this role. These requirements include, but are not limited to the following specialized security screenings:

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

Preferred/Additional Qualifications:

  • 4+years of technical engineering experience designing and deliveringhighly available, large-scale cloud services and distributed systems.

  • 2+years of technical engineering experience with machine learning model development, release, and operations.

  • Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture.

  • Experience usingappropriate artificialintelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.

  • Experience in any one or more of the following areas:

  • Safety and governance platforms for AI models and agents

  • Inference, routing, orchestration, and policy enforcement systems

  • Evaluation, red teaming, and monitoring infrastructure for AI systems

  • Deployment automation, CI/CD, and compliance tooling (e.g.,zeromanualeffortdeployments)

  • Multimodal safety infrastructure (image, video, audio, provenance)

  • Agent governance andcontrolplanecapabilities

Software Engineering 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 $160,200 - $261,000 per year.

About the company

Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is thelimitthinking in a cloud-enabled world.

TheCoreAIorganization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft’s flagship products, from GitHub, to Office, Teams, and Xbox. We are the team building Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. We do not just value differences or differentperspectives,we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. WithinCoreAI, the Foundry team empowers builders around the world of all skill levels to easily create AI apps.

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