Machine Learning Engineer III

About the role

The Marlin Alliance, Inc. is seeking a Machine Learning Engineer III to design and implement sophisticated models and algorithms tailored for naval applications. This role requires strong programming skills in Python and familiarity with cloud platforms like AWS, Azure, and containerization technologies.

Responsibilities

• Design, develop, and implement machine learning models and algorithms for naval applications.
• Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
• Data preprocessing, feature engineering, model evaluation, and validation.
• Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
• Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
• Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
• Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
• Apply cybersecurity principles in the design and deployment of machine learning systems.
• Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
• Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.

Requirements

• 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
• Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
• Strong programming skills in Python.
• Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with software engineering best practices, including Git.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Java, C++, Go, or Rust.
• Experience with distributed computing and parallel processing.
• Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Previous experience supporting government agencies or military organizations.
• Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders (stairwells) and navigating confined spaces while maintaining required points of contact.

Preferred Skills and Experience

• Experience with cloud-native architecture and software API design.
• Experience integrating machine learning into operational DoD systems or edge computing environments.
• Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
• Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.

Education and Certification Requirements

• Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
• Advanced degrees (MS/PhD) in related fields are preferred but not required.
• Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.

Work Environment and Mental/Physical Demands

• Typical office environment with no unusual hazards.
• Constant sitting while using the computer terminal.
• Constant use of sight abilities while reviewing documents.
• Constant use of speech/hearing abilities for communication.
• Occasional reaching, stooping, kneeling, or crouching may be required.
• Occasional lifting up to 20 pounds.
• Constant use of mental alertness.
• Frequent work under deadlines.

Compensation

$140,000 - $195,000 annually, commensurate with experience.