Artificial Intelligence Research Internship

Company Description

Nocthare is building AI-native infrastructure for Linux. We focus on rethinking how users interact with operating systems by embedding artificial intelligence directly into the system layer, enabling new forms of interaction grounded in real OS context. Our work sits at the intersection of systems engineering, human–computer interaction, and applied AI, with an emphasis on local, open, and privacy-preserving approaches.

Role Description

This is a
remote Artificial Intelligence (AI) Research Internship
role for
Winter 2025
, based in Toronto, ON. You will work closely with founding engineering teams to explore, design, and evaluate AI systems that operate natively within Linux environments. The role involves researching model architectures, interaction paradigms, and system-level integration strategies; experimenting with local and open-source models; and translating research findings into practical insights that inform product direction. You will contribute to defining how AI-native interfaces function at the operating system level.

Qualifications

• Currently pursuing a
  Bachelor's degree
  in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.
• Solid understanding of
  core AI / machine learning concepts
  through coursework or projects (e.g., supervised learning, neural networks, optimization).
• Experience programming in
  Python
  , with exposure to ML frameworks such as
  PyTorch
  ,
  TensorFlow
  , or similar.
• Familiarity with conducting experiments, evaluating models, and interpreting results.
• Strong analytical and problem-solving skills, with the ability to reason carefully about technical trade-offs.
• Clear written and verbal communication skills, including documenting findings and discussing ideas with technical teammates.
• Ability to work independently while collaborating closely with a small, fast-moving team.
• Genuine interest in
  system-level AI
  , Linux environments, or AI integrated directly into software infrastructure.

Nice to Have

• Experience using
  Linux
  as a primary development environment.
• Exposure to
  open-source projects
  , research codebases, or personal AI projects.
• Coursework or projects related to
  machine learning, systems, or human–computer interaction.
• Familiarity with experimentation tools, basic data visualization, or model evaluation techniques.