AI Engineer, Computer Vision

Humaan.ai's mission is to develop beneficial intelligence, build safe AI and remain aligned with human values. We build the tools to enhance our intelligence to tackle the world’s biggest challenges and solving every industries problem with AI to move forward in powerful way.

As an AI Engineer in Computer Vision, you will be researching and applying a range of software, computer vision, and machine learning techniques for solving challenges in computer vision tasks, making computers can see like a human.

Responsibilities

• Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons.
• Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware).
• Develop robust software for integrating multiple sensors and tracking systems.
• Optimize production AI models used by enterprise customers and partners.

Minimum Qualifications

• BSc degree in Computer Science, Software Engineering, Electrical Engineering or related technical field.BSc degree in Computer Science, Software Engineering, Electrical Engineering or related technical field
• 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems
• 3+ years of experience engineering in C++ and/or Python

Preferred Qualifications

• MSc or PhD degree in Computer Science, Software Engineering or Electrical Engineering focused on Computer Vision, Machine Learning, Robotics or related technical field
• Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs.
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.