Aquabyte

HQ
San Francisco, California, USA
48 Total Employees
Year Founded: 2017

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Jobs at Aquabyte
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Recently posted jobs

17 Hours Ago
Remote
Pittsburgh, PA, USA
Computer Vision • Information Technology • Machine Learning • Other
The Computer Vision Engineer will develop and deploy algorithms for fish farms, focusing on software and machine learning model development for camera systems and data analysis. Responsibilities include improving the intelligence and efficiency of camera systems and collaborating with a diverse team of engineers.
17 Hours Ago
Hybrid
7 Locations
Computer Vision • Information Technology • Machine Learning • Other
As a Computer Vision Engineer at Aquabyte, you will develop and deploy algorithms to enhance fish farming efficiency using machine learning and computer vision techniques. You will focus on improving the camera system's intelligence, work on neural networks, and collaborate closely with a team of experienced engineers.
4 Days Ago
Remote
Pittsburgh, PA, USA
Computer Vision • Information Technology • Machine Learning • Other
The Data Scientist will develop and deploy algorithms for fish farms, manage databases, conduct data analytics, and build statistical models related to fish health and weight. Collaboration with engineers and a focus on customer-driven product development are key aspects of the role.
4 Days Ago
Hybrid
7 Locations
Computer Vision • Information Technology • Machine Learning • Other
As a Data Scientist at Aquabyte, you will develop and deploy algorithms for fish farms, focusing on software and machine learning model development. You'll conduct data analytics, manage databases, and build statistical models related to the health and weight of fish populations, collaborating closely with engineers.
15 Days Ago
Hybrid
7 Locations
Computer Vision • Information Technology • Machine Learning • Other
The Embedded Software Engineer at Aquabyte will develop and improve embedded systems that interface with hardware like cameras and sensors. This role involves working on ARM-based platforms, enhancing the Linux build process, automating hardware testing, and enabling machine learning model deployment. The engineer will collaborate on hardware specifications and provide remote support for field teams.