AI Intern

ArmadaBellevue, WA
Onsite

About The Position

Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense. With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us. Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world. We are seeking a motivated AI Intern to join our AI/ML team and contribute to cutting-edge projects in artificial intelligence and machine learning.

Requirements

  • Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Familiarity with programming languages such as Python, R, or Java.
  • Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data manipulation using Pandas, NumPy, and SQL.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and in a team-oriented environment.

Nice To Haves

  • Understanding of deep learning, NLP, or computer vision is a plus.

Responsibilities

  • Assist in building, training, and fine-tuning machine learning models.
  • Conduct research on AI trends, tools, and techniques.
  • Work with large datasets for data preprocessing, cleaning, and feature engineering.
  • Optimize and evaluate model performance using various metrics.
  • Support AI team members in deploying and integrating models into applications.
  • Write and document scripts, workflows, and processes.
  • Collaborate with cross-functional teams, including data engineers and software developers.
  • Stay updated on the latest AI advancements and research papers.
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