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Field AI

Builds AI that guides robots through changing sites

Robotics Research: Humanoid Manipulation Intern

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Internship · Fall 2026Boston, MA, USA$40 - $60 /hr

About the Job

Requirements

  • Currently be a PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field.
  • Have research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Have a strong foundation in robot kinematics, dynamics, and control.
  • Be proficient in Python and/or C++, with experience using robotics or machine learning tooling.
  • Have experience designing experiments and evaluating results on robotic systems in simulation or hardware.
  • Have publications in leading robotics journals or conferences.

Responsibilities

  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems integrating perception, planning, and control.
  • Develop systems aimed at exceeding human teleoperation dexterity.
  • Work toward publishing a paper in a leading robotics conference or journal.
  • Work closely with internal and external researchers.
  • Present work at robotics conferences.
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Partner with researchers and engineers to align experiments with broader autonomy goals.
  • Engage with mechanical and electrical engineers on hardware integration and system bring-up.

Desired Qualifications

  • Have prior experience working with humanoid robots or dexterous robotic hands.
  • Have a background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Have hands-on experience running experiments on real robot hardware.
  • Be familiar with ROS or ROS 2.
  • Have publications, preprints, or open-source contributions in robotics or artificial intelligence.
  • Have an interest in connecting cutting-edge research with practical, field-ready robotic systems.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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