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Form of work
SalaryEvery year, we welcome thousands of university students from around the the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.
We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.
Those hired into this role are invited to participate in the Microsoft Aspire Experience, a two-year learning and development program in which you'll build your network, cultivate intentional capabilities, and gain perspective into the career opportunities across Microsoft’s many exciting businesses.
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.
Please note this application is only for roles based in our Redmond, Washington office. For roles in other offices in the United States, please see our Careers site.
Responsibilities
Applied Scientists will:
- Analyze and improve performance of advanced algorithms on large-scale datasets and cutting edge research in machine intelligence and machine learning applications.
- Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into ML tasks, design experimental process for iteration and optimization.
- Implement prototypes of scalable systems in AI applications
- Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members
Qualifications
Required/Minimum Qualifications:
- Pursuing or completed a Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Preferred Qualifications:
- Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras.
- Proficient coding in one or more languages (e.g., Python, C# or similar)
- A background in data structures, algorithms and analysis of algorithm complexity
- Understanding of Machine Learning (ML) frameworks: TensorFlow, Keras, PyTorch, or Caffe
- Understanding of big data tools: Hadoop, Spark, Hive, or Cassandra.
- Specialized experience in one or more of these areas: Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Large Language Models, Data Mining, Machine Intelligence (Artificial Intelligence) or related fields
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $76,400 - $151,800 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 $100,300 - $165,400 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 $100,300 - $165,400 per year.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 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.
