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AI Robotics Engineering Internship
AI Robotics Engineering InternshipLabyrinthAI • Boston, MA, US
AI Robotics Engineering Internship

AI Robotics Engineering Internship

LabyrinthAI • Boston, MA, US
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  • [job_card.part_time]
  • [job_card.internship]
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Job Description

Job Description

LabyrinthAI

Short Term Engineering Internship

$20 / hr + onsite training

Boston, MA, US (in-person 1 day per week x 4 weeks)

Part-time (1-2 months)

US citizen / visa only

About Us

We’re an early-stage robotics and AI startup on a mission to make it dramatically easier for companies to apply physical AI to real-world robots. We focus on robotic manipulation with a mission to help engineers seamlessly integrate AI into robots and drastically reduce the cost and complexity of robot programming and deployment compared to traditional methods.

We’re now looking for a hands-on, entrepreneurial Short Term Engineering Intern to help with data collection for robotic training. We’re especially excited to meet candidates with strong software engineering, robotics and / or AI / ML expertise who are passionate about robotics and eager to turn cutting-edge research into real-world products.

About Our Internship Program

We're looking for ambitious interns who want to make a real impact. You'll work hands-on with egocentric data capture for training AI models and teaching robots new skills.

You'll be mentored directly by our CEO and CTO with decades of experience in AI+robotics, working with founders who are in the technical trenches alongside you.

Work remotely with flexibility, come together in person up to once a week, and get hands-on training at MassRobotics, one of the premier robotics hubs in the world.

Ultimately, you'll leave with the kind of AI and robotics experience that's impressive on a resume because it actually was impressive to earn.

Who You Are

  • Industry or academic experience with data science, AI / ML, robotic manipulation, automation systems, or controls
  • Startup mindset - adaptable and comfortable with ambiguity, rapid iteration, and wearing many hats in a fast paced environment
  • You thrive in a high-autonomy, fast paced environment.
  • You take ownership and don’t need to be micromanaged on what the top priorities are at any given moment.
  • You’re hungry to make a huge impact, personal growth, and like to have fun
  • You enjoy getting you hands dirty across the whole stack ML stack from R&D through production
  • Deeply passionate about the latest in AI and robotics

What You’ll Do

  • Capture egocentric data from human demonstrations to train AI models for robots
  • Evaluate datasets to ensure data quality before ingesting the data into our AI models
  • Keep up with cutting edge research on robot learning (VLA’s, Imitation Learning, RL etc.) and evaluate them to improve our stack
  • Build data pipelines and infrastructure for real world robot deployments

    • Who Should Apply

    We welcome candidates from a range of backgrounds, including experienced robotics engineers, software engineers, and robotics researchers looking to transition into startups.

    We are unable to sponsor visas at this time

    Requirements

    Requirements

  • BS, MS or PhD in Computer Science, Data Science, Machine Learning, Robotics, or a related field
  • Can work in person in Boston, MA without visa sponsorship
  • Have permission from academic advisor(s) to work part-time (if needed)

    • Bonus Points

  • Familiarity with sensors, manufacturing, and industrial automation
  • Prior work on real-time ML inference, Sim2Real, VR / AR and / or data curation
  • Prior experience in early-stage startups
  • Experienced with model training, deployment, and maintenance
  • Strong skills in AI models and ML, software programming (Python), deep learning and related tools (e.g. Pytorch, Tensorflow, Isaac Sim etc.)
  • Deep knowledge of VLA’s, Diffusion models, and cutting-edge techniques in AI
  • Experience with data collection, data pipelines, and complex system architectures for real-world applications

    • Benefits

    No benefits are offered for this position

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