Aquabyte is seeking a Machine Learning Engineer to develop and deploy algorithms for fish farms worldwide. You’ll be responsible for software and machine learning model development of our on‑camera and cloud software.
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. By making fish farming more efficient and viable, we aim to promote healthy 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.
We focus on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we quantify fish weights, detect 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. There are hundreds of moving pieces and many fascinating challenges across all levels of the stack.
As a Machine Learning Engineer you will be responsible for developing machine learning models and pipelines, interacting with databases and data infrastructure, conducting in‑depth data analytics, and building statistical data inference models of biological processes. This AI team develops image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside experienced engineers.
$130,000 – $170,000 a year. Aquabyte takes a market‑based approach to salary and equity. Pay varies based on qualification, experience, interview performance, and location.
Aquabyte is a private company headquartered in San Francisco, supported by NEA, Costanoa Ventures, and other investors.
We strongly encourage applicants even if you don’t satisfy all requirements, and we will get back to you as soon as possible.
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