About the Role
The role involves designing, training, and deploying machine learning models, primarily in computer vision, to analyze underwater imagery and support decision-making in fish farming operations.
Responsibilities
- Design and implement machine learning models for image analysis
- Train models using large-scale underwater video datasets
- Optimize model performance for accuracy and inference speed
- Collaborate with software engineers to integrate models into production systems
- Monitor and maintain deployed models in live environments
- Improve data labeling pipelines and annotation quality
- Work with operations teams to understand real-world use cases
- Evaluate model outputs against biological and operational metrics
- Iterate on models based on field feedback
- Develop tools for model testing and validation
- Contribute to data infrastructure for model training
- Support edge deployment of models on on-site hardware
- Troubleshoot model performance issues in production
- Assist in defining model versioning and rollback strategies
- Participate in code reviews and system design discussions
Nice to Have
- Master’s or PhD in relevant technical field
- Published work in machine learning or computer vision
- Experience with underwater imaging systems
- Background in aquaculture or fisheries science
- Familiarity with time-series data analysis
- Experience with edge computing devices
- Knowledge of fish biology or animal behavior
- Experience in agricultural or environmental tech
- Contributions to open-source ML projects
- Work with low-latency inference systems
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid
Team
Small, cross-functional team focused on rapid innovation
About Us
- We are building AI-driven solutions to modernize fish farming and improve sustainability in aquaculture.
- Our platform combines underwater cameras, machine learning, and farm operations to provide actionable insights.
What You’ll Do
- Build computer vision models to track fish growth, health, and behavior.
- Work with field data collected from salmon farms worldwide.
- Deploy models that run both in the cloud and on local devices at fish farms.
- Collaborate with data, hardware, and farm teams to refine system performance.
Available for qualified candidates
