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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
Web
Task
farming analysis

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

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Aquabyte

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.

engineeringremotePittsburgh, PA
$110,000 a year - $165,000 a year
full-time

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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