ML Engineer: Real-Time Vision for Sustainable Aquaculture

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 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.