5 months ago
Singapore, SingaporeEntry Level
Responsibilities
- Develop and implement deep learning models for 3D computer vision tasks including object detection, object pose estimation, and 3D reconstruction.
- Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
- Enhance robot perception capabilities for reliable interactions in dynamic manufacturing settings.
- Design, implement, and document core perception software skills within Intrinsic’s platform.
- Support users applying perception skills in production applications.
Requirements
- A four-year degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field is required.
- Requires 1–2 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning and transformer-based models.
- Demonstrated experience deploying computer vision and at least one of object detection, 6DoF pose estimation, or 3D reconstruction is required.
- Proficiency in at least one modern deep learning framework, such as PyTorch, TensorFlow, or JAX, is required.
- Strong programming skills in Python or C++ are required.
- Expertise in computer vision and robotics, GPU kernel programming in CUDA, model optimization or quantization for deployment, and robotic perception, grasping, or manipulation are differentiators.
Categories
ML EngineeringRobotics
About Intrinsic
Intrinsic builds AI-driven robotics software that helps manufacturers and automation developers program and deploy industrial robots more easily. Its platform emphasizes perception and pose estimation and includes Flowstate, a product for creating flexible automation workflows. Founded in 2021 and headquartered in Mountain View, California, Intrinsic operates as a Google-owned company and focuses on software tools, simulation, and developer-facing interfaces for industrial automation use cases.