Machine Learning Engineer

Aquabyte; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Aquabyte is seeking a Machine Learning Engineer in the San Francisco Bay Area. You will develop machine learning models and pipelines for on-site cameras and cloud software, and work with databases and data infrastructure to support analytics and deployment.

You will build image and video inference pipelines to estimate weight, health, and behavior of fish populations, collaborating with engineers and data scientists across the AI team.

Responsibilities

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

Skills

Machine Learning

Data analytics

Databases

Image/video inference

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.

Job posting details for Machine Learning Engineer at Aquabyte in San Francisco Bay Area. Compensation / salary range: 130,000 - 170,000 USD, yearly.