Microsoft Corporation

As a Senior Applied Scientist on Image Search, you will lead the team to develop machine learning models and backend components that drive our Image product.. We are looking for a Senior Applied Scientist with a background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related fields.. 4+ years experience in any of the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.. Have a good understanding of state-of-the-art natural language processing, machine learning and deep learning technologies.. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.)

applied scientist

Bing Image and Video Search are among the most loved features on Bing and are among Bing’s strongest differentiators that keep users coming back. The features are consistently a driver for Bing’s growth, and the team is focused on accelerating this impact & growth. Images & videos inspire and entertain, enabling people to learn & do more. Beyond web search for images, we also have bold ambitions and the industry-leading technology to go even further. Camera images & videos can be the input to a search, results are recommended based on a deep understanding of the user’s ongoing tasks, and multimedia becomes a core part of the user journey – helping users inspire, discover and complete tasks. As a Senior Applied Scientist on Image Search, you will lead the team to develop machine learning models and backend components that drive our Image product. The team provides text classification models, ranking, prominence estimation models, representative image selection, as well as recommendations and insights to product roadmap and strategy. We are looking for a Senior Applied Scientist with a background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related fields. Candidates should be passionate about artificial intelligence and optimization at web scale. They will 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 our KPIs. Your team’s work is a key driver of growth of the product, impacting billions of searches on Bing and across Microsoft products. You will work closely with the product team and business stakeholders to scale the solutions to all languages and regions around the world. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities <ul><li>Design experiments to measure the impact of new ML models and product features</li><li>Collect data, train models, and evaluate quality and performance.</li><li>Design and implement feature generation pipelines.</li><li>Design and implement metrics.</li><li>Participate in data-driven decisions for feature prioritization and delivery</li><li>Collaborate with product team and other organizations within Microsoft to deliver success </li></ul>Qualifications Required Qualifications: <ul><li>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)</li><ul><li>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)</li><li> 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)</li><li> OR equivalent experience. </li></ul></ul>Preferred Qualifications <ul><li>2+ year's experience delivering, scaling, and owning highly successful and innovative machine learning products.</li><li>4+ years experience in any of the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.</li><li>Experience working through full product cycles from initial design to final product delivery.</li><li>Have a good understanding of state-of-the-art natural language processing, machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.) will be very helpful. </li></ul>Applied Sciences 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: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until July 14, 2024. #WWE# #Bing# 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.

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