The Marlin Alliance seeks a Machine Learning Engineer III to design and deploy ML models for naval applications. The role involves developing cloud-native pipelines using AWS, Azure, Docker, Kubernetes, and frameworks like TensorFlow and PyTorch. This position requires US Citizenship and an active Secret clearance, with a preference for TS SCI. The job is based in San Diego, CA with hybrid work and occasional travel.
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.
Perform 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 and navigating confined spaces.
Ability to perform required work aboard Navy vessels and in shipboard environments.
Ability to comply with Navy safety requirements and wear required personal protective equipment.
Nice to Have
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.
