Gen AI Principal Applied Scientist
Job Summary
Job Description
- 8+ years experience (or equivalent)
- LLM development expertise
- Collaboration with research & search teams
- Defining clear agendas and driving programs
- Mentorship and team building
- Ethical considerations and bias mitigation
- Doctorate in relevant field
- 10+ years related experience
- Industry-leading healthcare
- Educational resources
- Product and service discounts
- Savings and investments
- Maternity/paternity leave
- Generous time away
- Giving programs
- Networking opportunities
Job Details
Overview
As Microsoft continues to push the boundaries of AI (Artificial Intelligence), we are looking for committed individuals to work with us on a new strategic Search effort.
Our vision is bold and broad — to bring the power of Copilot’s AI to shape the future of Search in the GenAI era.
Bing team in Microsoft AI is seeking experienced Principal Applied Scientists in Mountain View, CA or Redmond, WA to help shape and build the next wave of capabilities to Search.
As a Gen AI Principal Applied Scientist you will design and develop LLMs (Large Language Models) and underlying subsystems to tailor to various Search specific scenarios.
We are looking for an individual who has the proven capability of working with Research and Search teams and partnering with them to deliver the best of joint class solutions. This can range from alignments with senior stakeholders, working together to building models, to coming up, with ways to build custom LLMs and architecture for specific product needs (especially GenAI).
We are excited to hear from candidates who have a keen interest in making a significant impact on how people interact with Search, and who are excited about the opportunity to be at the forefront of Search and AI. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize how we empower hundreds of millions of Search users across the globe!
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
Required Qualifications:
- Bachelor's Degree in Computer Science or Computer Engineering, or related field AND 8+ years related experience
- OR Master's Degree in Computer Science, Electrical or Computer or related field AND 6+ years related experience
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
- OR equivalent experience.
Additional or Preferred Qualifications:
- Doctorate or Master's Degree Computer Science, or Computer Engineering, or related field AND 10+ years related experience.
Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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 January 30, 2025.
#MicrosoftAI #Bing
Responsibilities
- Act as a leading expert in your field for a broad area of research, applying this knowledge to solve product-related problems. Champion innovative technologies related to industry trends, products, and other advances, and develop and share unique technical knowledge with teams.
Incorporate key business and product requirements to define a clear agenda and drive programs around key business challenges. Advise teams on methods, ensure quality and scientific rigor, and drive business impact.
Proactively provide mentorship and build your team’s capabilities. Establish best practices, serve as technical lead, build trusted relationships with internal and external stakeholders and drive efforts to attract, screen and interview top talent.
Drive discussions around ethics and privacy policies related to research and lead decision making efforts. Ensure that members across the discipline are aware of the potential for bias in the solutions being developed.
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