The Marlin Alliance

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, California, USA · Senior · full-time

No sponsorship$165k-$195kDetected 50 days ago
TypeScriptJavaGoC++Distributed SystemsAlgorithmsGitAWSAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsJenkinsMachine LearningTensorFlowPyTorchData EngineeringData ScienceMLOpsCybersecurityCommunicationProblem Solving

About the role

  • The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team.
  • This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices.
  • Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world.

Responsibilities

  • 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.
  • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
  • To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently.
  • The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.
  • This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship.

Requirements

  • San Diego, CA On site NAVWAR There will be some (15%) travel required to Arlington, VA
  • 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.
  • Experience with distributed computing and parallel processing.
  • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
  • 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.
  • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
  • Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.

Nice to have

  • Preferred Skills and Experience: Experience with cloud-native architecture and software API design.
  • ship is required No Dual Citizenship Active Secret clearance required
  • TS SCI clearance highly preferred
  • 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.

Skills

  • 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.

Compensation

  • $165k-$195k

Benefits

  • Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others.
  • 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.
  • Apply cybersecurity principles in the design and deployment of machine learning systems.
  • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
  • Required Skills and Experience: 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.

Equal opportunity

  • An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Visa & Work Authorization

  • Citizenship and Clearance requirements: ship is required No Dual Citizenship Active Secret clearance required; TS SCI clearance highly preferred Responsibilities: Design, develop, and implement machine learning models an
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This listing is sourced directly from The Marlin Alliance's careers page and normalized into a canonical job model.