
About Aquabyte
AI solutions for sustainable fish farming
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- $59.8 million raised in Series B funding
- AI-powered platform for monitoring fish health and welfare
- Global presence with farms utilizing Aquabyte's technology
Aquabyte is a pioneering company in the aquaculture industry, headquartered in SoMa, San Francisco, CA. With $59.8 million in funding from investors like Costanoa Ventures and Blue Horizon, Aquabyte leverages AI-powered solutions to enhance fish health and farm productivity. Their innovative platfor...
🎁 Benefits
Aquabyte offers an unlimited vacation policy, flexible working hours, and a hybrid work environment. Employees receive comprehensive medical, vision, ...
🌟 Culture
Aquabyte is committed to revolutionizing the fishing industry sustainably, focusing on reducing over-fishing impacts through advanced technology. The ...
Skills & Technologies
Overview
Aquabyte is seeking a Machine Learning Engineer to develop and deploy algorithms for fish farms globally. You'll work with Python and machine learning technologies to enhance aquaculture sustainability. This role requires experience in machine learning and computer vision.
Job Description
Who you are
You have a strong background in machine learning and software development, with experience in building and deploying models that solve real-world problems. Your expertise in Python allows you to develop robust algorithms that can be integrated into complex systems. You understand the nuances of computer vision and how it can be applied to analyze biological processes effectively. You are comfortable working with data analytics and statistical modeling, enabling you to derive insights from large datasets. You thrive in collaborative environments and enjoy working alongside engineers and scientists to push the boundaries of technology in aquaculture. You are passionate about sustainability and are eager to contribute to a mission-driven team focused on revolutionizing fish farming.
Desirable
Experience with cloud computing platforms and data infrastructure is a plus. Familiarity with image and video processing techniques will enhance your contributions to the AI team. A background in aquaculture or environmental science can provide valuable context to your work.
What you'll do
As a Machine Learning Engineer at Aquabyte, you will be responsible for developing and deploying machine learning models that enhance the efficiency of fish farming. You will work on creating algorithms that analyze data from custom underwater cameras to assess fish health and optimize feeding plans. Collaborating with the AI team, you will develop image and video inference pipelines that estimate the weight and behavior of fish populations. Your role will involve conducting in-depth data analytics to inform model development and improve product offerings. You will also engage in building statistical models that help understand biological processes, contributing to the overall mission of promoting sustainable aquaculture practices. You will have the opportunity to tackle fascinating challenges across various levels of the technology stack, from on-site hardware to cloud-based solutions.
What we offer
At Aquabyte, you will be part of a diverse and mission-driven team dedicated to making a positive impact on the environment. We offer a collaborative work environment where your contributions will directly influence the future of aquaculture. You will have access to cutting-edge technology and the opportunity to work on projects that matter. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to revolutionize fish farming and contribute to a more sustainable future.
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