Applied Sciences Intern

Microsoft Microsoft · Big Tech · IN · Applied Sciences

Internship role focused on analyzing and improving advanced algorithms, implementing AI prototypes, and preparing data for machine learning purposes. The role involves working with large-scale datasets and contributing to the creation of intelligent solutions.

What you'd actually do

  1. Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
  2. Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
  3. Implement prototypes of scalable systems in AI applications.
  4. 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.
  5. Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
  6. Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
  7. Help take cleaned data and adapt for machine learning purposes, under the direction of a senior team member.

Skills

Required

  • Statistics
  • Econometrics
  • Computer Science
  • Electrical or Computer Engineering
  • related field

Nice to have

  • data analysis
  • modeling
  • machine learning
  • data preparation
  • ML tasks

What the JD emphasized

  • advanced algorithms
  • machine intelligence
  • machine learning applications
  • ML tasks
  • prototypes of scalable systems
  • data analysis
  • modeling
  • machine learning purposes

Other signals

  • machine intelligence
  • machine learning applications
  • ML tasks
  • prototypes of scalable systems in AI applications
  • data analysis
  • modeling