Compensation: $30,000 – $40,000 MXN per month (contract-based).
Schedule: Monday – Friday from 8 AM to 5 PM PST (remote).
About the Position
We are currently seeking talented engineers in Computer Vision/Machine Learning for a project related to the development of augmented reality products.
Role Description
This is a full-time, remote position where you will collaborate with cross-functional teams to research, develop, and implement computer vision and machine learning algorithms and techniques for augmented reality software.
You will work on projects spanning medical technology, augmented reality games, and enterprise applications, addressing challenges related to product development for mobile devices/headsets and customized computer vision/machine learning capabilities.
Your responsibilities will include conceptualizing and implementing innovative features, overcoming SDK limitations in the market and hardware, and deploying algorithms in real-world applications. You should demonstrate exceptional abilities to solve complex problems and implement solutions in software.
Required Experience and Skills
Minimum of 3 years of industry experience in Computer Vision and Machine Learning.
Proficiency in programming languages such as Python, C++, Java, and MATLAB.
Experience in Deep Learning, Convolutional Neural Networks, and Object Detection using TensorFlow, Keras, PyTorch, etc.
Experience with 3D computer vision algorithms and techniques for object recognition, 3D reconstruction, and tracking. Strong mathematical skills with knowledge of linear algebra, calculus, probability, and statistics.
Experience deploying computer vision and machine learning algorithms in real-world applications.
Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related field (or equivalent experience).
Ability to work collaboratively and communicate effectively with cross-functional teams in Spanish and English.
Experience with Augmented Reality and Virtual Reality technologies is a plus.
Experience working under agile methodologies (SCRUM).
Note
Please submit your resume in PDF format, in English, and following the formatting and instructions here.
