Job Title: Perception Engineer
We are seeking a strong Perception Engineer to join our team at Humanoid.
The ideal candidate will possess deep expertise in machine learning, computer vision, and sensor technologies, with a strong background in object detection, semantic segmentation, and sensor fusion.
This person will work closely with the Navigation, Reasoning, and Locomotion leads to ensure the robot's perception capabilities are seamlessly integrated into the overall system architecture.
Key Responsibilities:
* Build robust perception systems for real-time scene understanding, including object detection, classification, pose estimation, and human detection
* Build a system to track objects & people across the scene
* Develop and optimize pipelines for offline auto-labeling and real-time perception tasks to support dataset generation and model training
* Design and implement manipulation policies using imitation learning, diffusion policies, and other ML techniques
* Create and maintain datasets for manipulation tasks, including cleaning and augmentation pipelines
* Collaborate with reasoning and control teams to ensure perception aligns with spatial understanding and robotic actions
Requirements:
* Proficiency in scene understanding technologies, including object and human detection, classification, and pose estimation
* Experience in building pipelines for offline auto-labeling and real-time processing
* Expertise in ML techniques for manipulation (e.g., imitation learning, diffusion policies)
* Strong understanding of dataset creation, cleaning, and augmentation
* Strong software engineering skills for real-world deployment, particularly on model optimisation for embedded systems
* Familiarity with the latest machine learning and robotics research
What We Offer:
* High competitive salary: $120,000 - $150,000 per year
* 23 calendar days of vacation per year
* Flexible working hours
* Opportunity to work on the latest technologies in AI/ML, Robotics and others
* Startup model, offering a dynamic and innovative work environment