Inactive
A

Armada

Real-time supply chain visibility platform

AI Intern

AI ResearchPosted on Mar 11
Internship · Summer 2026Bellevue, WA, USA$30 /hrIn-person

About the Job

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
  • Understanding of deep learning, natural language processing, or computer vision is a plus
  • Strong problem-solving and analytical skills
  • Ability to work independently and in a team-oriented environment

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

About the Company

Armada

Real-time supply chain visibility platform

Armada.ai provides a cloud-based Software-as-a-Service (SaaS) platform that improves visibility and collaboration across the supply chain. It serves logistics providers, manufacturers, and retailers, and connects them through real-time analytics and a shared workflow environment. The core product integrates with customers’ existing systems and offers dashboards, data-driven analytics, and social-network-like collaboration so stakeholders can share information, identify issues quickly, and coordinate responses. Unlike many traditional supply chain tools, Armada.ai focuses on real-time visibility and cross-partner collaboration within a single platform, leveraging integrations rather than replacing current systems. The company’s goal is to help customers run more efficient, cost-effective supply chains by enabling faster decisions and better coordination across all participants.

Company size
501-1,000
Company stage
Series B
Total funding
$456M
Headquarters
San Francisco, CA
Founded
2016

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