Field Robotics AI Co-op: Perception & RL in Solar Tech

Luminous

Boston (MA)

On-site

USD 28,000 - 55,000

Part time

4 days ago
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Benefits offered by this job

Mentorship from senior ML and robotics
Ownership of models and pipelines
Startup environment exposure
Hands-on robotics experience
Team off-sites and events

Job summary

Luminous Robotics, Inc. is seeking a Physical AI Intern/Co-op to advance the perception and learning-based autonomy stack for our LUMI robots. You will evaluate state-of-the-art models, integrate them into the autonomy stack, and help scale MLOps for training pipelines on real solar construction sites.

The role emphasizes hands-on implementation on robots in the field, with mentorship from senior ML and robotics engineers, and a path toward impact on deployed systems. Spring 2027 start.

Qualifications

  • PhD or advanced MS in CS or a related field.
  • Deep reinforcement learning (DRL) and imitation learning (IL) expertise with state-of-the-art algorithms.
  • Must have implemented at least one DRL algorithm and at least one robotics algorithm on a real robot.
  • Hands-on experience with C++, Python, ROS, and Docker.
  • Familiar with AI coding assistants and developer tools to accelerate development.
  • Interest in robotics, renewable energy, or clean tech.
  • Experience with Git, Agile methods, Jira or equivalent.
  • Excellent communication and organizational skills.
  • Team-oriented and able to thrive in a fast-paced startup environment.
  • Bonus: published a paper at major venues; cloud infrastructure experience.

Responsibilities

  • Contribute to perception and learning-based autonomy components of the LUMI robotics stack.
  • Evaluate and integrate state-of-the-art ML architectures into the autonomy stack.
  • Help expand MLOps infrastructure: training pipelines, evaluating architectures, integration with annotation tools.
  • Write production code with rigorous coding practices; participate in code reviews and docs.
  • Analyze sensor data and build visualization tools to evaluate model performance in real and simulated environments.
  • Support experiments benchmarking learned policies against classical approaches in real field conditions.

Skills

C++
Python
ROS
Docker
DRL
Imitation learning
Git
Agile methods
Jira
Communication

Education

PhD or advanced MS in Computer Science or related field

Tools

ROS
Docker

Job description

Luminous Robotics, Inc. is seeking a Physical AI Intern/Co-op to advance the perception and learning-based autonomy stack for our LUMI robots. You will evaluate state-of-the-art models, integrate them into the autonomy stack, and help scale MLOps for training pipelines on real solar construction sites.

The role emphasizes hands-on implementation on robots in the field, with mentorship from senior ML and robotics engineers, and a path toward impact on deployed systems. Spring 2027 start.

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