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Research & Development Intern

Remote / Hybrid
Volunteer
Research & Development

About the Role

Support the development and training of AI models across NLP and Vision. Gain real-world experience working alongside senior Research & Development Scientists on impactful projects. This internship provides an excellent opportunity to learn from experienced researchers while contributing to meaningful AI research initiatives.

Responsibilities

  • Assist in developing and implementing AI models
  • Participate in data collection and preprocessing
  • Contribute to model training and evaluation
  • Document research findings and methodologies
  • Collaborate with team members on research projects
  • Attend research meetings and presentations
  • Learn and apply best practices in AI research

Requirements

  • Foundational knowledge in machine learning and deep learning
  • Experience with Python and ML libraries
  • Eagerness to learn and contribute to ongoing research
  • Strong work ethic and teamwork skills
  • Currently pursuing or recently completed a degree in Computer Science or related field
  • Basic understanding of data structures and algorithms
  • Ability to work independently and meet deadlines

Preferred Qualifications

  • Experience with deep learning frameworks
  • Knowledge of computer vision or NLP concepts
  • Experience with version control systems
  • Strong mathematical background
  • Previous research experience
  • Experience with cloud computing platforms

Benefits

  • Hands-on experience with cutting-edge AI research
  • Mentorship from experienced researchers
  • Opportunity to contribute to real-world projects
  • Networking with AI professionals
  • Flexible work schedule
  • Professional development opportunities
  • Potential for future full-time opportunities
Job Details
Information about this position
Department
Research & Development
Location
Remote / Hybrid
Employment Type
Volunteer
Salary Range
Volunteer Position
Posted Date
April 20, 2025
Application Deadline
June 20, 2025
Our Hiring Process
1

Application Review

We review your CV, publications, and cover letter

2

Initial Interview

Virtual interview with the hiring manager

3

Technical Assessment

Research presentation or technical challenge

4

Final Interviews

Meet with team members and leadership