Microsoft Senior Applied AI Engineer 

United States, California, Mountain View 

16286322

is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value proposition.We are reinventing the way people communicate and work together across the globe.

a Senior Applied AI Engineerfor the Microsoft Teams Calling, Meeting & Devices group. This person will, fine tuning and prompt engineeringfoundation models. Partner withproduct andinvent anddeliver on theCoPilot and othergenerative artificial intelligence (AI) products.

In this role, you will

• disciplinesto deliverinnovation.
• Communicatepriorities and tradeoffs to lay out a path for achieving a vision.
• Inspire without authority across teams and motivate individuals to work together towards common goals.
• Thrives in a bit of chaos then creates the structure needed to execute smoothly at scale.

Our culture is inclusive, customer-driven; our team members come from diverse backgrounds, are passionate and loyal to coworkers and our products, and grounded in our customer and business needs. Our team hasa senseof artisanship and accountability andmany opportunities for learning and career 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.

Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Experience in system development, with the knowledge in developing rapid research prototypes to architecting complex systems.

Qualifications:

• Master's Degree inStatistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldAND 6+ years related experience ( e.g.,statistics, predictive analytics, research)
  • OR Bachelor's Degree inStatistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldAND 8+ years experience ( e.g.,statistics, predictive analytics, research)with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of experience in machine learning.
• Practical experience developing applications using prompt engineering, fine tuning, OpenAIor Azure Open AI application programming interface (APIs).

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 29, 2024.

• Conduct applied science experiments,createandvalidatemetrics, develop machine learning (ML) pipeline and modeling algorithmin the area ofLarge Language Models (LLM), Natural Language Processing (NLP), Information Retrieval, and Machine Learning.
• Developand deploy conversational and language understanding models atscale.
• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
• Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
• Embody ourand.