Realm builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more.
Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines.
AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size.
Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes.
As an intern at Realm, you'll work alongside full-time engineers on real features that run at active mine sites - not toy projects or internal tooling.
Contribute to our TypeScript backend serving real-time mining operations data
Build and ship features end-to-end
Work on applied AI features using LLMs (Claude, GPT, Gemini) for intelligent analysis and automation
Contribute to computer vision pipelines leveraging LLMs and services like AWS Rekognition and TensorFlow
Deploy code to production via Kubernetes with CI/CD
Interact directly with users and translate real-world operational challenges into features
Work closely with our CEO -- former CTO and Cofounder of Blend Labs -- and a senior engineering team invested in your growth
Must-Have Qualifications
Currently a Junior or Senior pursuing a BS in Computer Science or a related field
Strong CS fundamentals - data structures, algorithms, and system design
Proficiency with agentic coding tools (Claude Code, Codex, or Cursor)
Comfort working across the stack, you don't need to be an expert in everything, but you're willing to figure things out
Nice-to-Have Qualifications
Prior internship or project experience in a production codebase
TypeScript experience
AI or computer vision experience
Engineering quiz (async, ~60 min) — 8-question code reading and analysis assessment. No trick questions — we're testing how you think about real code.
Live coding interviews — Algorithmic problem solving and a simulated development task.
Behavioral interview with senior leadership — Culture fit, working style, and past experience.
Work on mission-critical problems at the intersection of AI, security, and global infrastructure
Competitive paid internship compensation
Real ownership: your code ships to production mines
Direct mentorship from a senior engineering team with deep startup and industry experience
Dynamic, remote work environment with global reach
Build and enhance scalable full-stack applications, solve distributed systems challenges, and use AI tools to improve coding, testing, design, and troubleshooting while contributing to product and architecture decisions.
Contribute to shared projects across AI platform, enterprise AI services, and data engineering by building trusted data pipelines, APIs, cloud components, and reusable AI capabilities with a collaborative engineering team.
Develop cloud and AI platforms spanning GPU infrastructure, Kubernetes orchestration, model training and inference, AI agents, and distributed systems that power large-scale AI workloads.
Design, implement, and maintain software code bases while building engineering skills through code reviews, collaboration, QA efforts, documentation, and Agile development.
Développez et qualifiez des prototypes et outils de simulation numérique pour les expertises du ministère des Armées, au sein d’une équipe travaillant sur des technologies variées et des calculs scientifiques.
