Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
The role
Aquabyte’s AI team builds the computer vision and machine learning systems that observe millions of fish daily through our underwater camera fleet. We estimate fish weight via stereo 3D reconstruction, detect health conditions, and optimize feeding in real time. Our systems operate across on-site edge hardware, cloud pipelines and a customer-facing application.
What you'll do
- Work with your mentors to complete an end-to-end R&D Project over 10-12 weeks, from literature review through experimentation and a final deliverable.
- Work on computer vision challenges in 3D reconstruction, efficient inference, visual recognition or model robustness - applied to real production data.
- Design and run experiments, iterating with increasing depth.
- Deliver a final presentation and a clean, elegant, reproducible codebase.
- Collaborate with the wider team on translating research insights into production-ready approaches.
Minimum Qualifications
Enrolled in Masters or PhD program in computer science, electrical engineering, or a related field with a focus on Machine Learning or Computer Vision
Strong coding ability; strong grasp of Python
Have exposure to software engineering best practices (version control, testing, code reviews)
Experience with training neural networks / deep learning (ideally pytorch)
High degree of initiative; comfortable working autonomously on open-ended problems
Must return to degree program after the completion of the internship, or the internship fulfills a graduation requirement
Preferred Qualifications
- Experience with stereo vision and 3D reconstruction
- Familiarity with vision foundation models and feature extraction/matching
- Experience with efficient inference and model optimization
- Familiar with classical and deep learning based feature extraction, feature matching, and disparity estimation
- Publication record in computer vision or machine learning
Top Skills
What We Do
Aquabyte is one of the few companies applying machine learning / computer vision to directly solve the world’s food sustainability issues. Fish farming is the #1 fastest growing sector of food production - a $180B worldwide industry. By improving fish farm efficiency, we help close the world’s impending protein deficit. We work on very challenging distributed image processing and machine learning problems, and our work has direct relevance on the world’s food chain. Come join us!
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