The Marlin Alliance
Machine Learning Engineer III
San Diego, California, USA · Mid · full-time
No sponsorship$140k-$195kDetected 49 days ago
TypeScriptJavaGoC++Distributed SystemsAlgorithmsGitAWSAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsJenkinsMachine LearningTensorFlowPyTorchData EngineeringData ScienceMLOpsCybersecurityCommunicationProblem Solving
About the role
- We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data.
- From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions.
- Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
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.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Constant use of sight abilities while reviewing documents.
- 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.
Requirements
- San Diego, CA On site NAVWAR There will be some (15%) travel required to Arlington, VA
- 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).
- Occasional reaching, stooping, kneeling, or crouching may be required.
- 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
- Compensation $140,000 - $195,000 annually, commensurate with experience.
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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