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Sr Machine Learning Engineer at The Marlin Alliance
The Marlin Alliance
San Diego, CA
Information Technology
Posted 0 days ago
Job Description
The Marlin Alliance Inc. 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.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.Citizenship and Clearance requirements: US CitizenshipActive TS SCI security clearanceLocation: Hybrid based in San Diego CAResponsibilities: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.Job Classification:Associate II$110000 - $180000Disclaimer:This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. 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. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.To perform this job successfully the incumbents will possess the skills aptitudes and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge skills or abilities.This document does not create an employment contract implied or otherwise other than an at-will relationship.An Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesRequired Experience:Senior IC Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 110000 - 180000
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