Machine Learning Engineer

Aquabyte; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

Aquabyte is seeking a Machine Learning Engineer to develop and deploy ML models and pipelines for our on-camera and cloud software used by fish farms worldwide. This role is based in Pittsburgh, PA, and involves collaborating with a skilled AI team to handle data infrastructure and model deployment.

You will conduct in-depth data analytics, build statistical inference models of biological processes, and contribute to real-time decision-support tools that estimate weight, health and behavior of

Responsibilities

• Develop ML models and data pipelines for on-camera and cloud software.
• Interact with databases and data infrastructure to support model deployment.
• Conduct in-depth data analytics and build statistical inferences for biological processes.
• Develop image and video inference pipelines to estimate weight, health and behavior of fish populations.

Job description

Aquabyte is seeking a Machine Learning Engineer 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.

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 Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with 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 develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.

Aquabyte in Pittsburgh, PA. Compensation / salary range: 110,000 - 165,000 USD, yearly.