Senior Machine Learning Engineer (Op AI)

About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit.

We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter.

Whether you’re an experienced engineer or just beginning your career, you’ll work alongside experts who are committed to solving mission-critical problems. If you’re passionate about using your skills to make a real difference, apply today and become part of a team that’s shaping the future of defense technology!

About the Role: PMAT is seeking a Senior Machine Learning Engineer 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.

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.

Required Skills and Experience:

• At least 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.

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.

Citizenship and Clearance Requirements:

• US Citizenship


• No dual citizenship


• Active DoD TS/SCI clearance required

Location:

• San Diego, CA (primary)

Travel:

• Travel required up to 15% to Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or other customer locations as needed.

Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution.

PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

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