Inactive
A

Agility Robotics

Humanoid robots and automation software platform

AI Intern

Applied Machine Learning +1Posted on Mar 11
Internship · Summer 2026$75 /hr

About the Job

Requirements

  • Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.

Responsibilities

  • Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
  • Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
  • Improve data collection, model training, and evaluation frameworks.
  • Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
  • Present your findings to a world-class team of engineers and researchers.

Desired Qualifications

  • Expertise in reinforcement learning.
  • Expertise in learning from demonstration.
  • Expertise in multimodal learning (vision, proprioception, forces, etc).
  • Expertise in sim-to-real.
  • Experience training machine learning models on real or simulated datasets.
  • Experience working with robot hardware.
  • Experience analyzing experimental data and communicating results.

About the Company

Agility Robotics

Humanoid robots and automation software platform

Agility Robotics designs and sells humanoid robots and an accompanying software platform to automate labor-intensive tasks. Its flagship robot Digit works with the cloud-based Agility Arc platform to perform tasks in warehouses, manufacturing, retail, eCommerce, and distribution centers. The system combines Digit’s mobility and manipulation capabilities with software that coordinates tasks, scheduling, and data, enabling effective human–robot collaboration on labor tasks. What sets Agility Robotics apart is its humanoid form and emphasis on mobile manipulation, paired with a cloud automation platform and plans for an App Store for Labor to offer a range of labor-related applications. The company’s goal is to help humans be more productive by augmenting workers’ capabilities and allowing them to focus on more complex and creative tasks, while delivering reliable labor solutions through direct sales, service contracts, and a potential software ecosystem.

Company size
201-500
Company stage
IPO
Headquarters
Salem, OR
Founded
2015

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