| Location | San Francisco Bay Area |
| Salary | 130,000 - 170,000 USD, yearly |
| Commitment | Full-Time |
| Role | Engineering |
| Remote | 🏢🌴Hybrid |
| First listed | In the last 9 months |
🔍 Get help on your data science job search
Need help in your data science job search? Checkout this free article:
Job Description
Aquabyte is seeking a Data Scientist to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.
Hybrid Role (Bay Area Candidates Only):
This is a hybrid position, and we are seeking candidates who reside in the Bay Area and can commute to our San Francisco office twice a week on Tuesdays and Wednesdays. The ideal candidate will excel in both in-person collaboration and a flexible work setting.
Our mission
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.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
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.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Data Scientist you will be responsible for interacting and managing databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Aquabyte number of job openings over time by month
ClimateTechList is the web's largest aggregator of climate, clean tech, renewable energy & green jobs. Contact us if you'd like to use partner or use our current or historical jobs data in any way.
Apply to Job
👉 Please mention that you found the job on ClimateTechList, this helps us get more climate tech companies listed here, thanks!
Get a referral to Aquabyte
If possible, try to get a warm intro/referral to Aquabyte before applying! Do a LinkedIn search to see who you may know at the company. See this LinkedIn post from Steven for more details on this tactic.
Join ClimateTechList Talent Collective
Want to be matched with companies directly? Apply to the talent collective.
Here's how it works:
You submit an application
We'll share your profile with climate tech companies potentially interested in chatting with you
We'll reach out if there's a company interested in talking to you.
No spam. Unsubscribe any time.
Join ClimateTechList Talent Collective
Want to be matched with companies directly? Apply to the talent collective.
Here's how it works:
You submit an application
We'll share your profile with climate tech companies potentially interested in chatting with you
We'll reach out if there's a company interested in talking to you.