Machine Learning Engineer

@Orchard LLC is seeking an Machine Learning Engineer to support the National Oceanic and Atmospheric Administration (NOAA), Office of Ocean Exploration.

The Machine Learning Engineer will develop and apply machine learning capabilities to help NOAA Ocean Exploration analyze the large volumes of scientific data and video generated during ocean exploration expeditions. Working at the intersection of computer science, marine science, and data analytics, this position will develop software, algorithms, and analytical workflows that help identify scientifically significant characteristics, fauna, shapes, movement, and other features within complex scientific datasets and video streams.

The successful candidate will collaborate with marine scientists, engineers, data specialists, and other technical professionals to improve the efficiency and consistency of scientific data analysis. The role will help reduce manual review time, support annotation and characterization of observations, and create repeatable tools that enable scientists to extract meaningful information from increasingly large ocean exploration datasets., AI & Machine Learning Development

• Develop machine learning capabilities for evaluating large volumes of ocean exploration data and streaming video.
• Design, develop, test, and refine algorithms and software that identify specific characteristics, shapes, movement, fauna, and other features within scientific data and video.
• Develop computer-language subroutines, scripts, and programs that support automated or semi-automated data analysis, annotation, and characterization.
• Apply appropriate machine learning and computer vision techniques to improve the efficiency and consistency of scientific data review.
• Evaluate model performance and refine approaches based on scientific objectives and observed results.

Scientific Data & Video Analysis

• Work with large scientific datasets and high-volume expedition video to identify patterns and features relevant to ocean exploration.
• Collaborate with marine scientists to translate scientific questions and observation requirements into computational approaches.
• Support development of tools that enable scientists to efficiently locate, annotate, classify, and characterize observations.
• Assist in developing repeatable analytical workflows that can be applied to future expeditions and datasets.
• Support integration of AI/ML outputs into broader scientific data analysis, annotation, and ocean exploration workflows.

Software Development & Documentation

• Develop maintainable and reusable code supporting machine learning and data-analysis capabilities.
• Document software development, algorithms, workflows, model changes, and system updates to support future corrections and enhancements.
• Test and troubleshoot applications and analytical workflows to ensure reliable performance.
• Recommend improvements to software, analytical methods, and machine learning workflows.
• Support software corrections and updates as required.

Scientific Collaboration

• Collaborate with marine scientists, GIS specialists, web developers, engineers, and other technical professionals.
• Participate in technical discussions, scientific meetings, and project planning activities.
• Translate technical machine learning concepts into understandable information for scientific and program stakeholders.
• Support technical reports, presentations, demonstrations, and other program deliverables.

Operational Support

• Support response to urgent software or analytical issues affecting supported capabilities, including occasional work outside normal business hours when required
• Support troubleshooting and resolution of issues affecting machine learning applications and associated web or data capabilities.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Marine Science, Oceanography, or related discipline. Master’s degree preferred.
• Experience developing or applying machine learning solutions for data analysis, computer vision, video analysis, or related applications.
• Programming experience in Python or another modern programming language.
• Experience working with large datasets and developing repeatable data-analysis workflows.
• Understanding of machine learning concepts, model development, evaluation, and optimization.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with scientists and technical professionals from different disciplines.
• Excellent written and verbal communication skills.
• Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat.
• Occasional domestic travel may be required to support scientific meetings, workshops, planning sessions, training activities, or other program requirements consistent with contract needs.

Preferred Skills and Experience:

• Experience applying AI or machine learning to scientific, environmental, marine, or oceanographic datasets is preferred.
• Experience with computer vision, image recognition, object detection, video analytics, or image classification.
• Experience working with high-volume video or streaming data.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with scientific Python libraries and data-analysis tools.
• Experience supporting NOAA, other federal agencies, academic research organizations, or marine science programs.
• Familiarity with marine organisms, oceanographic data, or scientific expedition environments.

Technical Skills:

• Python
• Data Analysis
• Large-Scale Data Processing
• Algorithm Development
• Software Testing & Troubleshooting
• Scientific Data Workflows

Compensation: The anticipated salary range for this position depends on the candidate’s qualifications, relevant scientific experience, education, and overall experience supporting similar federal programs.

Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays.

This position applies emerging AI and machine learning technologies to one of the world’s most challenging data environments-ocean exploration. Your work will help NOAA scientists analyze massive volumes of expedition data and video more efficiently, accelerating the identification and characterization of marine life and other scientifically significant observations.