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Principal Software Engineer - Responsible AI Job Opening In Mountain View – Now Hiring Microsoft Corporation


Job description

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 the limit thinking in a cloud-enabled world.

The CoreAI organization 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 different perspectives - 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.

Within CoreAI, the Foundry team empowers builders around the world of all skill levels to easily create AI apps.

The Responsible AI group focuses 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 a **Principal Software Engineer - Responsible AI** who 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.

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.



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**

+ 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.
+ Evaluate alternative architectures and technologies that best fit the business requirements and service KPIs.
+ Take end-to-end responsibility for the development lifecycle 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 and state-of-the-art technologies to improve customer experience and better serve the product’s business needs.

Other

+ Embody our culture and values

**Qualifications**

**Required Qualifications**

+ Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
+ OR equivalent experience
+ 6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.

**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 Qualifications**

+ Master'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, C++, C#, Java, JavaScript, Go or Python
+ OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
+ OR equivalent experience.
+ 4+ years of technical engineering experience with machine learning model development, release, and operations.
+ Ability to navigate the company and influence and inspire peers in engineering and broad product development.
+ Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture.
+ A track record of pursuing and delivering innovative insights that translate to value generation.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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

**#CoreAI**

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) .


Required Skill Profession

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Microsoft Corporation adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Principal Software Engineer Responsible AI Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Mountain View. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Principal Software Engineer Responsible AI?

Key qualifications for Principal Software Engineer Responsible AI typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Principal Software Engineer Responsible AI Job Success

Microsoft Corporation interview tips for Principal Software Engineer   Responsible AI

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Research: Learn about the Microsoft Corporation's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Principal Software Engineer Responsible AI interview at Microsoft Corporation, research the company, understand the job requirements, and practice common interview questions.

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