Aquabyte

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About
Aquabyte provides data-driven solutions for the aquaculture industry, focusing on sustainable fish production. Their technology uses underwater cameras, computer vision, and machine learning to offer insights into fish populations, including weight estimation, lice detection, welfare monitoring, and behavior analysis. Aquabyte's platform aims to improve fish welfare, increase efficiency, and support better decision-making for fish farmers, helping them meet the growing global demand for protein while minimizing environmental impact.
Platform
Task
Features
• automatic lice counting
• automatic weight calculation
• behavior monitoring
• live streaming video from the pen (penflix)
• self-cleaning lenses and sensors
• biomass control
• fish welfare monitoring
• decision support based on images and ai
Job Opportunities
Computer Vision Engineer
Aquabyte provides an AI-powered platform for data-driven fish farming, offering solutions for fish welfare, lice counting, weight calculation, and behavior monitoring using computer vision and machine learning.
Benefits:
Competitive salaries and generous equity
Unlimited vacation policy
Flexible working hours
Medical, vision, & dental insurance
Retirement matching plan Evolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Education Requirements:
BS/MS in relevant technical degree
Experience Requirements:
3+ years of experience with building computer vision software
Strong coding ability; strong grasp of Python
Experience with stereo vision, 3D reconstruction, and stereo calibration
Experience with training neural networks / deep learning (ideally pytorch)
Other Requirements:
Experience optimizing model inference for real-time inference on limited resources
Strong software engineering skills; knowledge of best practices, testing, and deployment
Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
Experience with Docker and cloud SW development (i.e. AWS)
Basic database interaction; knowledge of SQL
Responsibilities:
doing the software and machine learning model development to improve the intelligence and efficiency of our camera system.
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