
Computer Vision and Machine Learning Engineer
The Computer Vision/Machine Learning Engineer will be responsible for the research and development of systems that incorporate the use of various sensors such as camera, radar, and lidar, individually and through the use of sensor fusion, to detect and classify objects encountered in autonomous vehicle operations. Coordinate research, studies, experiments, and development activities in the areas of computer vision and machine learning in the use autonomous off-road/agricultural vehicles and robotic subsystems. Work on complex problems that impact the success of current or future products. Serve as a technical specialist in application of theories, concepts, principles, and processes in area of responsibility. Work with internal teams, customers, and vendors to facilitate effective communication. Prepare reports of research data, evaluate, and provide recommendations based on findings. Keep abreast of new developments in the fields of engineering design, methods, and applications. Has knowledge and skills in the engineering discipline. Uses prescribed techniques and procedures within established criteria.
Team player who is self-motivated and has ability to work with minimal supervision
2-4 years of experience
Experience with OpenCV computer vision library
Familiarity with the use of Scrum or other agile methodologies in the SDLC
Time Management
Docker
Tensorflow
Pytorch
Containerization
Agile methodologies
AWS cloud infrastructure
Verbal communication
written communication
Multitasking Skills
Adaptability
Detail Oriented and Organized
According to JobzMall, the average salary range for a Computer Vision and Machine Learning Engineer in 1115 S Bell Ave, Ames, IA 50010, USA is $91,000 to $142,000 per year.
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Raven Industries, Inc. is a U.S manufacturer of precision agriculture products, high-altitude balloons, plastic film and sheeting, and radar systems. The company is headquartered in Sioux Falls, South Dakota.

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