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Applied AI Intern

Applied AI Intern

ConfidentialIndia, Hyderabad / Secunderabad, Telangana
1 day ago
Job description

About Perceptyne

Perceptyne is a deep-tech robotics startup building AI-powered semi-humanoid robots for automating dexterous and intelligent tasks on industrial shopfloors. By integrating AI into the automation pipeline, Perceptyne's robots unlock a range of advanced capabilities that were previously considered challenging or impractical—empowering customers to achieve more. We work closely with organizations in areas of electronics product assembly, Automotive assembly lines, warehouse operations etc. to help them realize their automation goals. We are building technology that will push the boundary of robotics as we know it today!

How is it like to work at Perceptyne

At our core, we like to solve customer problems, build things, evangelize great ideas, and we are grounded. At Perceptyne, we greatly value these dichotomies :

  • Having experience while not losing a first principles approach.
  • Having a large vision while not losing attention to detail
  • Working on disruptive tech while hitting the market ASAP

Role Overview

This is an internship role for a minimum of 3 months and a maximum of 6 months . The candidate will focus on advancing robotic intelligence through cutting-edge 3D reconstruction, simulation, and deep learning. You will gain hands-on experience developing digital twins, integrating VR teleoperation for data synthesis, and training foundation models to enable robust and generalizable manipulation capabilities in humanoid robots.

Responsibilities

  • Utilize the latest research in 3D reconstruction to create digital twins for simulation and training of dexterous humanoid robots.
  • Interface VR teleoperation with simulation platforms to synthesize diverse manipulation data.
  • Train and test foundation models for multitask generalization in robotic control.
  • Run Real2Sim and Sim2Real pipelines for robust evaluation of manipulation policies.
  • Fine-tune deep learning models using reinforcement learning.
  • Design and evaluate foundation policies on customized test cases for robustness and repeatability.

    • Qualifications

    Required Experience :

  • Strong theoretical and practical foundations in Deep Learning and Robotic Imitation Learning.
  • Proficiency in PyTorch and ability to contribute to a fast-paced development team.
  • Experience with Isaac Lab and Blender preferred.
  • Familiarity with ROS2 and C++ is a plus.
  • Prior exposure to LeRobot projects is a strong advantage.

    • Education :

  • B.Tech / BE / M.Tech / MS / MEng students or graduates in Computer Science, Electrical, or Electronics Engineering from top institutions.

    • Skillsets :

  • Must-have : Python, PyTorch
  • Good to have : Isaac Lab, Blender, ROS2, C++, JAX, AWS

    • What We Offer

  • Opportunity to work on state-of-the-art developments in embodied intelligence.
  • Direct involvement in robotic automation for complex industrial and household tasks.
  • A collaborative, research-driven team environment with expert mentorship and growth opportunities.

    • Skills Required

    Jax, Pytorch, Blender, Python, Aws, Deep Learning

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