Aquabyte

Aquabyte builds machine learning camera IOT software to directly solve the world’s food sustainability issues

26 - 50 employees

11 - 25 engineers

$10m - $25m funding

Series a

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We are 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 $240B 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!

Apply now: https://jobs.lever.co/aquabyte

Why join us?

We are 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 $240B worldwide industry. By improving fish farm efficiency, we help close the world’s impending protein deficit.
We work on very challenging distributed image processing, data science, and machine learning problems.
We are funded by top Silicon Valley VCs (NEA, Costanoa Ventures), and have a very committed team of machine learning engineers, computer vision engineers, software engineers, marine biologists, and former fish farmers.
We will raise our Series B funding in the next 6 - 12 months.

Engineering at Aquabyte

Engineering team and processes

Our engineering team operates on one week cycles. Each cycle begins with a meeting to discuss priorities and time estimates for features. We are integrated with Jira to track task management, feature requests, and bugs. At the top of each week, we hold all hands meetings along with our Norway office where engineers have the opportunity to show case and demo the latest shipped features. We use Pull Requests on GitHub to conduct code reviews and we encourage and empower engineers to own a domain in our code base that they feel most passionate about.

Technical Challenges

Aquabyte is a AI company that leverages machine learning and computer vision to provide a suite of applications that will optimize and improve operations and capabilities of fish farms around the world. We design and architect software for big data storage and ETL pipelines to power customer facing real-time dashboards. We process tens of thousands of images a day and are thoughtful in the ways we move heavy payloads through deep learning and machine learning models. We also deal with unique hardware intricacies varying from deep water stereo cameras and ruggedized antennas to custom GPU enabled edge compute power.

Projects you might work on

Aquabyte captures and stores an enormous amount of images taken from our underwater enclosures in Norway. Should big data solutions and backend architecture interest you, you will have the opportunity to develop our various big data storage solutions (both around files and metadata) as well as design our various ETL pipelines. Additionally, together with our research team, you will help build various data pipelines to automatically train our machine learning models on real-time data ingest. Our backend pipelines are written both in Go and Python.
Aquabyte has three different client platforms: a customer facing dashboard for real-time farm metrics, a company facing dashboard for uptime and summary metrics, and an annotation platform for manual annotations on our captured fish images which in turn are used to train our machine learning models. All of our client facing dashboards are written in react with their respective APIs written in node. You will have the opportunity to take ownership and a full stack role should you find your passion in building elegant and delightful client facing applications.
You will have a chance to work on projects such as ramping up our total analytics output per farm by increasing frames captured per second by our deep water stereo cameras, filtering non-useful data, compressing data, optimizing the research team’s algorithms, and processing the most priority data when resources are exhausted. We deploy a chain of processing stages starting at the underwater enclosure, the fish pen the enclosure is in, the central floating barge the pens are attached to, and finally in the cloud. Projects related to edge engineering and hardware/networking challenges in the coastal waters involves writing algorithms in C++ and Python. We are currently exploring solutions to push our capabilities to the edge with discrete GPU enabled microprocessors.

Tech stack

Python

Node.js

Docker

React

Angular.js

AWS

CUDA

C++

Tensorflow

Working at Aquabyte

We rely on our intuition and intention - We reward intellectual curiosity and debate. We encourage people to work on projects they find worthwhile as they may yield products and ideas that may add enormous value. We encourage people to be aware of what they are building rather than merely going through the motions - People should be learning in their current roles and learn about other roles in the organization. This helps share and build intuition across the company. A minimum of 5 - 10% of our time should be spent learning. - We believe that the best products are built from first principles and intuition rather than from someone telling us what to do. This is a harder road to take, but it will allow us to build a better product overall and allows us to scale the team laterally.

We are pragmatic and maximize efficiency - We value getting something done in a practical manner. Often this means doing 20% to get 80% of the value, and prioritizing the 20% over time. - We aim to maximize efficiency of everyone’s time. Often, this means having work-life balance such that we can work optimally and not get burned out. Take time off when you want, work when you want, but be optimally efficient. - We share information freely and everyone has access to everyone in the company, there are no secrets. By everyone knowing, everyone is able to develop intuition and work better together - We should over-communicate to ensure that things are done efficiently, and issues are triaged. We should speak and engage and disagree tactfully.

We believe in individual exceptionalism - Everyone on our team should be entrepreneurial in their own right and treat the company as their own. Projects should be championed and promoted laterally across the organization instead of top-down. - Everyone on our team is expected to push the envelope on what they are working on. If we hire exceptional folks everyone is held to a high standard. - Everyone is nice and kind to each other.

Perks & benefits