AI-ML Software Engineer

Coral Gardeners

. Own end-to-end development of embedded code running on the ReefOS underwater camera .

Posted 10/30/2026part-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and computer vision, with a strong focus on developing and deploying models for embedded systems. Proficient in designing scalable data pipelines and ensuring data quality while effectively communicating technical results through data visualization.

Highest-signal resume keywords

Machine LearningComputer VisionEmbedded Software DevelopmentPython ProgrammingData Pipeline Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningComputer VisionEmbedded Software DevelopmentPython ProgrammingModel DeploymentData Pipeline DesignDataset AnnotationModel EvaluationBioacousticsAudio Signal Processing

Soft Skills

Clear CommunicationStorytellingAutonomyCollaboration

Tools & Technologies

PyTorchTensorFlowData Visualization ToolsWeb ApplicationsAPIs

Industry Keywords

Ocean ConservationCoral Reef RestorationData QualityField ConstraintsScalable Pipelines

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Own end-to-end development of embedded code running on the ReefOS underwater camera
Ensure reliable, efficient operation under field constraints including power consumption, storage, data capture and on-device processing
Implement testing, monitoring and update procedures for field-deployed devices
Work with Hardware and field teams to diagnose issues and strengthen the system
Design, build and maintain scalable pipelines for large volumes of reef imagery and bioacoustic data
Automate data ingestion, processing and delivery from capture to models and applications
Guarantee data quality, traceability and efficient storage
Develop, optimise and deploy computer vision and bioacoustics models
Manage and curate annotated datasets to improve model performance
Define evaluation metrics, track performance and iterate
Integrate AI outputs into CG Labs web applications
Define interfaces and data formats for delivering model results
Share progress and results through clear data visualisation and impactful storytelling
Document models, pipelines and methods for reuse and improvement

Requirements

What you’ll need

Strong experience in machine learning and computer vision
Experience in bioacoustics or audio signal processing is a strong plus
Experience with embedded software and edge devices, ideally in constrained or harsh environments
Experience integrating models into web applications or APIs
Solid programming skills in Python and modern ML frameworks such as PyTorch or TensorFlow, from training to deployment
Ability to design and maintain scalable data pipelines and work with large datasets
Good practices in dataset annotation, curation and model evaluation
Ability to communicate technical results clearly through data visualisation and storytelling
Rigorous and autonomous, comfortable working across scientific, hardware, engineering and field teams
Genuine interest in ocean conservation and coral reef restoration

Benefits

Comp & perks

Opportunity to work on direct, measurable impact for marine conservation
Work on real coral reefs and influence coral restoration
Join a passionate, innovative team
Freelance part-time work arrangement
Remote work