Date Posted: Sept. 16, 2022 Domestic relocation as well as Visa sponsorship is available. Required qualifications: Minimum of a Bachelor's degree with five plus years of experience or Masters degree with two plus years' experience or PhD; Educational preparation or applied experience in at least one of the following areas: Machine Learning, Computational Biology, Applied Mathematics, Bioinformatics, Genomics, Computer Science, Statistics, Biostatistics, or other related quantitative discipline; Demonstrate proficiency applying deep learning, machine learning algorithms, concepts to image classification, object detection, and object segmentation; Skilled in computational skills and level of experience building models using Python and building analysis pipelines; Understanding of software development best practices (version control, code documentation & review, cloud-based sequence analysis, database management); Intermediate proficiency in predictive modeling including comprehension of theory, identification strategies, limitations, and pitfalls; Experience in successful delivery of valuable analysis through application of domain knowledge; Possess strong business acumen; Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner. Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of approximately $120,000 (or between $110,000 to $135,000). Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..

Computer Vision is a subarea of Artificial Intelligence focused on creating systems that can process, analyze and identify visual data in a similar way to the human eye. There are many commercial applications in various departments, such as: security, marketing, decision making and production. Smartphones use Computer Vision to unlock devices using face recognition, self-driving cars use it to detect pedestrians and keep a safe distance from other cars, as well as security cameras use it to identify whether there are people in the environment for the alarm to be triggered. In this course you will learn everything you need to know in order to get in this world. You will learn the step-by-step implementation of the 14 (fourteen) main computer vision techniques.

Object tracking is a subarea of Computer Vision which aims to locate an object in successive frames of a video. An example of application is a video surveillance and security system, in which suspicious actions can be detected. Other examples are the monitoring of traffic on highways and also the analysis of the movement of players in a soccer match! In this last example, it is possible to trace the complete route that the player followed during the match. To take you to this area, in this course you will learn the main object tracking algorithms using the Python language and the OpenCV library!