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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 Artificial Intelligence (AI) Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

We are looking to hire a Senior Applied Scientist to join our team.

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 AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps.

Responsibilities

You will be a technical leader, working closely with colleagues and customers from various business domains drive Responsible AI product innovation.

• Drive innovations in Hallucination Detection and Mitigation models and algorithms where keep engineering resource consumption in mind.

• Lead and participate in design, implementation, and execution across a variety feature including building Machine Learning/Deep Learning (ML/DL) models.

• Analyze complex, high-volume, high-dimensionality data.

• Participate in designing and building Responsible AI harmful content model core.

• Collaborate with a team of world-class researchers, scientists & engineers to solve very challenging problems.

• Invest in others’ growth.

• This role requires a deep understanding of generative AI use cases and responsible AI, a keen sense of model development to support responsible AI commitments while keeping product innovation in mind, and a technical background to develop responsible AI measurement and mitigation techniques.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

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+ year experience in machine learning, deep learning and/or related fields.

• 3+ year experience in software development experience in languages such as Python, Java, C++, Scala, or C#.

• 1+ year experience developing end to end Machine Learning/Deep Learning (ML/DL) engineering systems.

• 1+ year experience in distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos).

• Have research or work experience on Natural Language Processing (NLP) or recommendation system.

• Experience working in the Gen Artificial Intelligence (AI) field.

• Experience developing and designing science model consumed in production development.

• Experience working through full product cycles from initial design to final product delivery.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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 (https://careers.microsoft.com/v2/global/en/us-corporate-pay.html)

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

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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) .