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We are currently seeking a Principal Applied Scientist Manager with a robust background in Machine Learning and Weather Science to lead the Microsoft Weather AI Forecast Science Team. Our team is globally recognized as the most accurate weather forecast provider, serving over 1 billion users. If you're passionate about artificial intelligence and product development at web scale, this role might be a perfect fit for you.
You will drive innovation in weather forecast modeling. This involves research and development in forecast models, including deep learning, transformers, GANs, diffusion, CNNs, foundational models, and ensemble forecasts. You will leverage our strengths in user data and weather data to enhance our forecasting capabilities. You will drive an exceptional vision and strategy to disrupt weather forecast, and build strong collaborations with academia. We are looking for an experienced leader who can make a direct impact to 1B+ users globally, algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, and continually improve our KPIs.
The Commerce, Feeds and Verticals organization specializes in building personalized and engaging products around news, shopping, weather, sports, finance, and gaming that can scale to 1B+ Microsoft users on desktop and mobile.
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.
Our Culture:
Microsoft Culture
Our Team:
Inside Microsoft's Web Experiences Team
Qualifications
Required/Minimum Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 5+ years working on weather forecast or data problems e.g. nowcasting, gridded forecast, severe weather forecast, global modeling, regional modeling.
- 5+ years on large scale and state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models such as (Diffusion Neural Networks (DNN), Attention, Convolution Neural Networks (CNN), Recursive Neural Networks (RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.)
- 1+ year(s) people management experience.
Additional Or Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 5+ years people management experience.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Responsibilities
- Responsible for weather forecast quality and science strategy globally.
- Building and delivering technical vision, strategy, and roadmap to be the #1 weather product in the world.
- Leading and managing a science R&D organization to deliver world-class weather forecasts and strong industry presence as a world-class leader in technical acumen.
- Collaborating with global product engineering teams to build high quality product experiences and robust and scalable platform solutions.
- Embody our Culture and Values.
Applied Science M5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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