Company

Digital Harbor FoundationSee more

addressAddressBaltimore, MD
type Form of workOther
CategoryInformation Technology

Job description

Job Description

Overview

The Learning Engineering Virtual Institute (LEVI) is a new research and development program to create educational technology that can double the rate of middle school math progress for students in under-resourced communities. As a Learning Engineer Intern dedicated to this work, you will collaborate with university research labs and private organizations to advance the state-of-the-art in educational technology. You will work closely with LEVI teams to help them achieve their technical, research, and product goals. You will show initiative in identifying common needs across teams and implementing software prototypes to address those needs. You will gain an immersive experience in Learning Engineering.

The role of an intern on the Learning Engineering team will be to support the work of the LEVI teams. You will make a material contribution to one or more LEVI projects and build relationships within the Learning Engineering community. The ideal candidate is interested in applied research to understand the usage of and implement improvements for real educational software. This internship will serve as a mechanism for building the experience to contribute as a full-time Machine Learning Engineer on a LEVI engineering team.

The position is part of the Learning Engineering Team at Digital Harbor Foundation. The Machine Learning and Data Engineers on this team contribute technical and research assistance to further the LEVI work. Digital Harbor Foundation is dedicated to digital equity for everyone, increasing diversity in the technology sector, and advancing technology innovation for the public good. Driven by our sincere belief that access to opportunity is a basic right, we take bold yet practical actions to support making a better future now. Through a portfolio of projects focused on developing leadership within communities, we support those closest to challenges to take deliberate actions based on a design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity.

Experience Requirements
  • Current Undergraduate (Sophomore or Junior) or Graduate (1st or 2nd year Master's or PhD) student in Computer Science or a related field with relevant coding experience. 
  • Moderate experience with behavioral and social science research is desired but not required. 
  • Moderate-to-strong coding experience in Python. 
  • No direct experience in educational technology is required.
Knowledge, Skills, and Abilities
  • Write and execute a basic Python program
  • Write basic SQL queries
  • Academic or hands-on experience in supervised machine learning
  • Comfort setting up a software development environment on your own computer
  • Have some experience using version control systems e.g. git
  • Find and interpret relevant resources - technical or academic - online
Roles & Responsibilities
  • Perform literature reviews/surveys 
  • Interact regularly with LEVI teams
  • Perform data analysis with empirical datasets 
  • Create proofs-of-concept of varying degrees of complexity
  • Communicate findings and recommendations with technical and non-technical stakeholders

Other Duties

Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Additional Notes

This position is fully remote.

This internship can be either a full-time summer internship (3-month, 40 hours/week position from June 2024 - August 2024) or a 6-month, 20 hours/week position from June 2024 - November 2024.

Compensation

Compensation for this position is $25 - $30/ hour.

If our mission and vision align with your personal values, please apply!

A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually.

Digital Harbor is an equal opportunity employer.

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Refer code: 8510702. Digital Harbor Foundation - The previous day - 2024-03-09 10:53

Digital Harbor Foundation

Baltimore, MD
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