Applied Scientist Internship - ICML 2024

Overview

Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world.

This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.

As an Applied Science Intern at Microsoft during Summer 2025, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services.

You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes.

You'll contribute to the creation of intelligent solutions through data analysis, modeling, and machine learning, ensuring our products remain at the leading edge of innovation.

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.

Qualifications

Required Qualifications

• Currently pursuing a Doctorate 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 in Summer 2025.
• Registered for or attending ICML (The International Conference on Machine Learning) 2024

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 $5,460 - $10,680 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 $7,040 - $11,640 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here :

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Responsibilities

• You will gain expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.
• You will apply strategies provided by team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area.
• As you reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members.

Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.

You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information.

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect