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Form of work
SalaryCome build community, explore your passions and do your best work at Microsoft with thousands of students from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.
At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
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 internships based in our Mountian View, California office. For internships in other offices in the United States, please see our Careers site.
Responsibilities
Applied Scientist Interns 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 Qualifications:
- Currently pursing a Bachelor's or Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Must have at least one additional quarter/semester of school remaining following the completion of the internship
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 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
The base pay range for this internship is USD $5,090 - $10,120 per month. 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 $6,690 - $11,030 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-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.
