Role overview
The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.
Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey.
What you'll work on
- San Diego, CA
- On site NAVWAR
- *There will be some (15%) travel required to Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or other customer locations as needed.
Citizenship and Clearance requirements:**
- US Citizenship is required
- No Dual Citizenship
- *Active Secret clearance required; TS SCI clearance highly preferred
- 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.
What we're looking for
- 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.