AI-ML Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the development process for embedded code utilized in the ReefOS underwater camera.

• Ensure the dependable and efficient functioning of the system under field-specific constraints, including power usage, storage capacity, data acquisition, and on-device processing.

• Establish testing, monitoring, and updating protocols for devices deployed in the field.

• Collaborate with Hardware and field teams to troubleshoot issues and enhance system performance.

• Design, construct, and sustain scalable pipelines for processing large quantities of reef imagery and bioacoustic data.

• Automate the ingestion, processing, and delivery of data from capture to models and applications.

• Ensure data quality, traceability, and efficient storage solutions.

• Develop, optimize, and deploy computer vision and bioacoustics models.

• Manage and curate annotated datasets to enhance model performance.

• Define evaluation metrics, monitor performance, and iterate as necessary.

• Integrate AI outputs into CG Labs web applications.

• Specify interfaces and data formats for delivering model results.

• Communicate progress and results through effective data visualization and compelling storytelling.

• Document models, pipelines, and methodologies for future use and improvement.

⛳️ Requirements

• Extensive experience in machine learning and computer vision.

• Experience in bioacoustics or audio signal processing is highly advantageous.

• Proficiency with embedded software and edge devices, preferably in challenging or limited environments.

• Experience with the integration of models into web applications or APIs.

• Strong programming skills in Python and contemporary ML frameworks such as PyTorch or TensorFlow, covering all stages from training to deployment.

• Capability to design and maintain scalable data pipelines and manage large datasets.

• Familiarity with best practices in dataset annotation, curation, and model evaluation.

• Strong ability to convey technical results through data visualization and storytelling.

• Detail-oriented and self-sufficient, comfortable collaborating across scientific, hardware, engineering, and field teams.

• Genuine passion for ocean conservation and coral reef restoration.

🏝️ Benefits

• Opportunity to contribute to direct and measurable outcomes in marine conservation.

• Engage with real coral reefs and play a role in coral restoration efforts.

• Become part of a dedicated and innovative team.

• Flexible freelance part-time work arrangement.

• Option for remote work.