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BUILD SCITECH Careers

AI & Applied Intelligence Intern

BST AppliedRemoteIntern
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Remote.

Minimum qualifications:

  • Basic Python programming
  • Basic understanding of machine learning or AI
  • Strong problem-solving skills
  • Experience building technical projects
  • Ability to learn independently
  • Interest in modern AI systems

Preferred qualifications:

  • Experience with LLM APIs or open-source models
  • Knowledge of RAG or vector databases
  • Experience with PyTorch or TensorFlow
  • Understanding of embeddings
  • Experience with data analysis
  • GitHub projects related to AI or machine learning

About the job

BUILD SCITECH is looking for an AI & Applied Intelligence Intern interested in experimenting with modern AI systems and turning research into useful applications.

You may work on LLM applications, intelligent automation, retrieval systems, machine learning experiments, data pipelines or AI features integrated into BUILD SCITECH products.

We are particularly interested in people who enjoy building, experimenting and learning from technical papers, open-source projects and real-world datasets.

This is an unpaid internship.

Learn more about benefits at BUILD SCITECH.

Responsibilities

  • Prototype AI-powered product features
  • Experiment with models and AI APIs
  • Build simple AI workflows and applications
  • Evaluate model outputs
  • Work with datasets and APIs
  • Document experiments and findings
  • Research emerging AI technologies
  • Collaborate with product engineers
  • Build internal AI tools and automations
  • Turn successful experiments into product prototypes

Information collected as part of your BUILD SCITECH Careers profile, and any applications you submit, is handled in line with our applicant privacy notice.

BUILD SCITECH is proud to be an equal opportunity employer. We evaluate candidates on merit and are committed to a hiring process that is fair and free from bias. If you need an accommodation to participate, let us know and we'll work with you.