Senior Naval ML Engineer - Cloud-Native AI for DoD
The Marlin Alliance, Inc.
San Diego (CA)
On-site
USD 165,000 - 195,000
Full time
14 days+
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Job summary
A strategic defense contractor in California is seeking a talented Senior Machine Learning Engineer to design and implement advanced ML models for naval applications. You will collaborate with multidisciplinary teams and work in a fast-paced environment. The ideal candidate has over 10 years of experience in machine learning, strong programming skills in Python, and familiarity with cloud technologies. This position offers a competitive salary range between $165,000 and $195,000, along with opportunities for professional development and a dynamic work environment.
Qualifications
10+ years of experience in related fields.
Proven experience in real-world ML applications.
Strong programming skills in Python and Java.
Familiarity with cloud-native architecture.
Experience with DoD AI strategies is a plus.
Responsibilities
Design and implement machine learning algorithms for naval applications.
Collaborate with interdisciplinary teams on AI solutions.
Develop cloud-native ML pipelines.
Participate in CI/CD pipeline development.
Skills
Machine learning model development
Python programming
Cloud platforms (AWS, Azure)
Data preprocessing
Distributed computing
CI/CD pipeline development
Team collaboration
Cybersecurity principles
Education
Bachelor of Science in Artificial Intelligence, Data Science, or related field
Advanced degrees (MS/PhD) preferred
Tools
TensorFlow
PyTorch
Docker
Kubernetes
Job description
A strategic defense contractor in California is seeking a talented Senior Machine Learning Engineer to design and implement advanced ML models for naval applications. You will collaborate with multidisciplinary teams and work in a fast-paced environment. The ideal candidate has over 10 years of experience in machine learning, strong programming skills in Python, and familiarity with cloud technologies. This position offers a competitive salary range between $165,000 and $195,000, along with opportunities for professional development and a dynamic work environment.