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Marine Computer Science Jobs in California (NOW HIRING)

Senior Scientist

Riverside, CA · On-site

$95K - $130K/yr

PSI is seeking an AMOC Senior Scientist to provide full-time support to the CBP Air and Marine ... Bachelor's degree in Engineering, Computer Science, Information Technology, or related field ...

SW Drafting Technician

Dixon, CA · On-site

$28 - $35/hr

To request a reasonable accommodation, in the application process please email hr@bellingham-marine ... COMPUTER SKILLS: Fully trained in the use of AutoCad, and experience in 3D Drafting with software ...

Citizenship and Secret clearance or eligibilityAssociate's degree in IT, Computer Science, or ... Marine Corps Intranet (NMCI), NGEN, or similar DoD networksKnowledge of Remedy, ServiceNow, or ...

... marine vehicles, and aerial vehicles, including fleets of vehicles. Our software is currently in ... Qualifications • Typically requires a Bachelor's degree in Computer Science or related discipline ...

Associate's degree in IT, Computer Science, or related field ( Bachelor's preferred ) * 3+ years of ... Experience supporting Navy Marine Corps Intranet (NMCI), NGEN, or similar DoD networks * Knowledge ...

Desktop Support Technician

San Diego, CA · On-site

$20.50 - $26.25/hr

Associate's degree in IT, Computer Science, or related field ( Bachelor's preferred ) * 3+ years of ... Experience supporting Navy Marine Corps Intranet (NMCI), NGEN, or similar DoD networks * Knowledge ...

Showing results 21-40

Marine Computer Science information

See California salary details

$24.2K

$47.8K

$78K

How much do marine computer science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for marine computer science in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What is a Marine Computer Science?

A Marine Computer Science job involves applying computer science principles to marine and oceanographic research. Professionals in this field develop software, analyze large datasets, and create models to study marine ecosystems, climate change, and ocean mapping. They may work with underwater robotics, satellite imaging, or AI to enhance marine exploration and maritime industries. Careers can be found in government agencies, research institutions, and private companies focused on marine technology.

What are the key skills and qualifications needed to thrive in the Marine Computer Science position?

To thrive in Marine Computer Science, you need strong skills in computer science, software development, and data analysis, often supported by a bachelor's or master's degree in computer science, marine technology, or a related field. Familiarity with programming languages (such as Python, C++, or MATLAB), GIS applications, oceanographic data systems, and possibly certifications in network security or data management are often expected. Excellent problem-solving abilities, teamwork, and clear communication are key soft skills that help navigate complex multidisciplinary projects. These skills are vital for developing, maintaining, and analyzing digital systems that support marine research, conservation, navigation, and industry operations.

What are the common challenges encountered in Marine Computer Science roles?

Professionals in Marine Computer Science often face challenges related to integrating complex hardware and software systems in challenging ocean environments, handling large volumes of diverse data collected from sensors and instruments, and ensuring system reliability in remote or harsh conditions. You may also work closely with oceanographers, engineers, and data scientists, requiring strong collaboration and adaptability. Balancing innovation with regulatory and environmental considerations is another key aspect. These experiences help build a rewarding, impactful career at the intersection of marine science and advanced technology.

What are popular job titles related to Marine Computer Science jobs in California?

For Marine Computer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Marine Computer Science jobs in California look for?

The top searched job categories for Marine Computer Science jobs in California are:

What cities in California are hiring for Marine Computer Science jobs?

Cities in California with the most Marine Computer Science job openings:

Infographic showing various Marine Computer Science job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,757 per year, or $23 per hour.

Data Scientist / Machine Learning Engineer

San Diego, CA • On-site, Remote

Trabus Technologies
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 hours ago


Job description

Data Scientist / Machine Learning Engineer
About TRABUS Technologies
TRABUS Technologies (TRABUS) is a minority-owned, Service-Disabled Veteran-Owned Small Business (SDVOSB) headquartered in San Diego, California. Since 2010, TRABUS has provided advanced wireless technology solutions, cybersecurity expertise, artificial intelligence capabilities, and engineering support to federal and commercial clients.
Recognized on the Inc. 5000 list for seven consecutive years, TRABUS is a dynamic, forward-leaning organization committed to solving complex, real-world challenges and delivering mission-ready solutions that meet and exceed customer expectations.
Position Overview
TRABUS Technologies is seeking a highly motivated Data Scientist / Machine Learning Engineer to join our growing Artificial Intelligence and Data Science team.
In this role, you will combine machine learning, data science, and software engineering skills to support a variety of AI-based projects, including resource planning for ship maintenance, marine transportation, and climate and environmental informatics.
The successful candidate will develop machine learning models that provide predictive insights and analytics for robust, web-based, full-stack AI applications supporting both government customers - including the Department of Defense (DoD), Department of Transportation (DoT), and National Oceanic and Atmospheric Administration (NOAA) - and commercial customers.
Key Responsibilities
  • Develop code to extract, clean, transform, and preprocess training datasets from disparate data formats, sources, and APIs.
  • Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL) algorithms and models.
  • Apply AI/ML techniques across diverse data domains, including Navy, transportation, environmental sciences, healthcare, and public safety.
  • Collaborate with the TRABUS Data Science team to develop scalable AI solutions incorporating technologies such as:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Prompt Engineering
    • Computer Vision
    • Natural Language Processing (NLP)
  • Work alongside AI/ML and DevOps engineers to develop automated AI workflows that continuously generate predictions and inferences.
  • Develop validation and testing routines to measure model performance and evaluate the quality and accuracy of predictions.
  • Analyze large datasets and data streams to identify patterns, trends, and actionable insights.
  • Support the integration of machine learning models into web-based and full-stack AI applications.
  • Collaborate with technical teams throughout the development, testing, integration, and deployment lifecycle.

Required Qualifications
  • Minimum of 2 years of programming experience using Python.
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science.
  • Knowledge and experience with Python data science and machine learning libraries such as:
    • Pandas
    • scikit-learn
    • Keras
    • TensorFlow
    • PyTorch
  • Strong Python programming skills with the ability to process and analyze large datasets and data streams.
  • Understanding of databases, data structures, and API-based ETL operations.
  • Strong working knowledge of Linux or Unix-based operating systems.
  • Familiarity with Python web frameworks such as FastAPI, Django, and Flask.
  • Experience working with Git repositories and version control.
  • Ability to work collaboratively within multidisciplinary technical teams.
  • U.S. Citizenship is required.
  • Must be able to obtain and maintain a final DoD-adjudicated Secret security clearance.

Desired Qualifications
  • Current DoD-adjudicated Secret security clearance.
  • Strong knowledge of DevOps tools, processes, and best practices.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Familiarity with Agile software development methodologies.
  • Experience working within Agile development environments.
  • Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Proficiency with Microsoft Office applications.
  • Strong written and verbal communication skills.
  • Strong attention to detail and commitment to procedural compliance.
  • Ability to manage multiple responsibilities and priorities while meeting established deadlines.

Education
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or another related STEM discipline.
  • Master's degree preferred.

Benefits
TRABUS Technologies offers a competitive compensation package and comprehensive employee benefits, including:
  • Paid Time Off (PTO)
  • Paid Holidays
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • 401(k)
  • Life and AD&D Insurance

Equal Employment Opportunity
TRABUS Technologies is an Equal Employment Opportunity Employer. We are committed to the principles of equal employment opportunity and will not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local discrimination laws.