SAIC · 8 hours ago
Senior Machine Learning Engineer
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$120K/yr - $160K/yr
10+ years expSAIC is seeking a Top Secret cleared AI/Machine Learning Subject Matter Expert in support of NAVWAR’s Naval Operational Architecture Program in San Diego, CA. In this role, you'll drive the innovation of autonomous, AI-enabled systems, translating sensor-derived data into real-time decision triggers to enhance the Navy’s command networks.
Information TechnologySecurityService IndustrySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
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
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. Tools and equipment will weigh no more than 50 lbs
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)
Preferred
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
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
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Leadership Team
Prabu Natarajan
Chief Financial Officer
Kevin F Brown
Senior Vice President, Chief Information Security Officer
Recent News
2025-12-16
2025-12-16
2025-12-05
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