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Droyd Robotics

Autonomous construction robots with AI-powered automation

Machine Learning Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Be a current junior or senior, or equivalent, studying computer science, machine learning, artificial intelligence, or a related field.
  • Have coursework or hands-on experience training machine learning models using frameworks such as PyTorch or JAX.
  • Be willing to balance school and work in a fast-moving environment.
  • Be curious about robotics and interested in how learning systems behave in the real world.
  • Take ownership, ask good questions, and carry projects forward with guidance.

Responsibilities

  • Work across the machine learning stack, from training to inference.
  • Train and evaluate models that run on low-payload robotic systems.
  • Run experiments, analyze results, and document findings.
  • Learn how model design, data quality, and hardware constraints affect real-world performance.
  • Support deployment and testing of models on robotic hardware.
  • Work closely with AI researchers, software engineers, and hardware teams, contributing to systems that ship to real robots.

About the Company

Droyd Robotics

Autonomous construction robots with AI-powered automation

Droyd Robotics builds autonomous precision robotic systems for industrial settings, with a focus on autonomous construction like data center build-out and maintenance. It designs and manufactures hardware in-house, runs the software control stack, and uses low-cost robotic arms to collect real-world data that trains generalist AI models for perception, reasoning, and action. The company differentiates itself through full vertical integration—from hardware to AI data—and by building realistic test environments that mirror real deployments to bridge engineering and field operation. Its goal is to automate manual tasks in construction and maintenance for enterprise clients by turning robotic systems into reliable, data-informed infrastructure for scalable autonomous operations.

Company size
Not listed
Company stage
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Total funding
Not listed
Headquarters
San Francisco, CA
Founded
Not listed

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