Jobs in the Field of Applied Science at Microsoft in the United States
Applicant criteria
- No specific age required
- 3-5
- Both
Opportunity criteria
- Full time
Opportunity description
Microsoft offers a full-time job opportunity in Applied Sciences, it is looking for a highly skilled Senior Applied Scientist with a background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related fields, who should be passionate about artificial intelligence and optimization at web scale. As a data & applied scientist on Image Search, you will lead the team to develop machine learning models and backend components that drive Image products. The team provides text classification models, ranking, prominence estimation models, representative image selection, as well as recommendations and insights to product roadmap and strategy.
Duties & responsibilities
You will be responsible for:
- Design experiments to measure the impact of new ML models and product features.
- Collect data, train models, and evaluate quality and performance.
- Design and implement feature generation pipelines.
- Design and implement metrics.
- Participate in data-driven decisions for feature prioritization and delivery.
- Collaborate with product team and other organizations within Microsoft to deliver success.
- Play a key role in driving algorithmic improvements to online and offline systems.
- Develop and deliver robust and scalable solutions, make direct impact to both user and advertisers' experience, and continually improve its KPIs
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Eligibility criteria
You must have:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years of 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 1+ year(s) related experience.
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
- You are preferred to have:
- 1+ year(s) experience creating publications.
- Bachelor's Degree in the aforementioned majors and 5+ years of related experience (e.g., statistics, predictive analytics, research).
- OR Master's Degree and 3+ years of related experience (e.g., statistics, predictive analytics, research).
- OR Doctorate and 1+ year(s) related experience.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- In particular, hands-on experiences with deep learning models Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Networks (RNN) Attention and frameworks (PyTorch, TensorFlow, Keras, etc.) will be very helpful.
Please note: The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year.
About Microsoft:
Microsoft corporation is an American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports and sells computer software, consumer electronics, personal computers, and related services. Its best known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers.
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