At Path Robotics, we’re building the future of embodied intelligence with AI-driven systems that enable robots to adapt, learn, and perform in the real world
Job Summary
At Path Robotics, we’re building the future of embodied intelligence with AI-driven systems that enable robots to adapt, learn, and perform in the real world.
Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks, leveraging multi-modal data.
Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms and stay updated with the latest advancements in robotics.
Matching Summary
At Path Robotics, we’re building the future of embodied intelligence with AI-driven systems that enable robots to adapt, learn, and perform in the real world.
Skills & Requirements
Must-have
behavioral cloning (BC)
reinforcement learning (RL)
diffusion models
multi-modal data
vision-language-action (VLA) models
fleet learning
continuous learning
robot control
object manipulation algorithms
C++ or Python
Nice-to-have
risk-aware
reliable
continuously improving
intelligent, humble, and driven people
unique thinking
diverse and inclusive environment
Key Requirements
Ph.D. or Master’s degree
publishing at top conferences
robotic simulation tools
machine learning techniques applied to robot manipulation
deploying models in real-world applications
pose estimation
segmentation
active perception
affordance-based bin picking
deploying scalable solutions for autonomous robotic systems