Applied Science Intern

What you'll do

• Analyze and improve the performance of advanced algorithms on large-scale datasets.
• Translate product scenarios and goals into specific machine learning tasks.
• Design experimental processes for model iteration and optimization.
• Implement prototypes of scalable systems in AI applications.
• Prepare and review data for quality, technical constraints, and modeling purposes.
• Suggest data inclusions and exclusions while addressing data quality problems.
• Support the scaling of feature ideation and data preparation for machine learning.

What we're looking for

• Currently pursuing a Bachelor's or Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field.
• Must have at least one additional quarter or semester of school remaining following the completion of the internship.
• Must be enrolled in a full-time bachelor's or master's degree program in a relevant area during the academic term immediately before the internship.
• Ability to analyze and improve performance of advanced algorithms on large-scale datasets and machine learning applications.
• Ability to design experimental processes for iteration and optimization of machine learning tasks.
• Ability to implement prototypes of scalable systems in AI applications.
• Ability to prepare, review, and clean data for modeling purposes while addressing data quality problems.
• Ability to understand and share knowledge of research techniques and industry trends with team members.