
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 production systems. You understand the intricacies of data analytics and are comfortable working with large datasets to derive meaningful insights. You are passionate about sustainability and are eager to contribute to innovative solutions in aquaculture. You thrive in collaborative environments and enjoy working alongside engineers with diverse expertise. You are motivated by the impact of your work and are excited to be part of a mission-driven team.
Desirable
Experience with computer vision techniques and frameworks is a plus, as you will be involved in developing image and video inference pipelines. Familiarity with cloud technologies and data infrastructure will enhance your ability to contribute effectively to the team. A background in biological processes 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 closely with the AI team, you will design and implement image processing pipelines that provide real-time insights into fish populations. Your role will involve conducting in-depth data analytics to build statistical models that inform decision-making processes. You will also engage in continuous improvement of existing algorithms, ensuring they meet the evolving needs of our customers. You will have the opportunity to work on various aspects of the technology stack, from on-site hardware integration to cloud-based data processing.
What we offer
At Aquabyte, you will be part of a diverse and mission-driven team dedicated to revolutionizing aquaculture. We offer a collaborative work environment where your contributions will directly impact the sustainability of fish farming practices. You will have access to cutting-edge technology and the opportunity to work on challenging problems 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 promote healthy and environmentally sound fish farming practices.
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