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Marine Computer Science Jobs in Georgia (NOW HIRING)

Yamaha

Software Engineer II - UI/UX

Kennesaw, GA

$96K - $128K/yr

Yamaha has an excellent opportunity for a Software Engineer II - UI/UX to join our Marine team in ... Bachelor's in Computer Engineering, Electrical Engineering, Software Engineering, Computer Science ...

MetroStar

Cybersecurity Analyst (5690)

Albany, GA · On-site

$110K - $138K/yr

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or related technical fields. * 2-4 years of relevant experience * Experience supporting Marine Corps or Department of ...

Battelle

IT Support Tech IV

Albany, GA · On-site

$19.75 - $27.25/hr

... Marine Corps Logistics Command. We are looking for a highly competent staff member to join our team ... Bachelor's degree in Information Technology, Computer Science, or Computer Engineering. * 3-5 years ...

Battelle Memorial Institute

IT Support Tech IV

Albany, GA · On-site

$19.75 - $27.25/hr

... Marine Corps Logistics Command. We are looking for a highly competent staff member to join our team ... Bachelor's degree in Information Technology, Computer Science, or Computer Engineering. * 3-5 years ...

MetroStar

Sr. Data Engineer I (5346)

Albany, GA · On-site

$110K - $138K/yr

As Sr. Data Engineer I , you'll support the Marine Depot Maintenance Command (MDMC) Digital Depot ... Bachelor's degree in Computer Science, Information Technology Management or Engineering, or other ...

Arxada

Driver

Conley, GA · On-site

$1K - $1K/wk

Plan or adjust routes based on changing conditions by utilizing computer equipment, GPS or other ... marine sectors. Nutrition, Care & Environmental (NCE), meanwhile, provides materials used to ...

AECOM

Electrical Engineer

Atlanta, GA · On-site

... scientists, digital innovators, program and construction managers and other professionals ... Projects include tanker truck fuel receipt, marine vessel fuel receipt, aboveground and underground ...

AECOM

Electrical Engineer

Atlanta, GA · On-site

... scientists, digital innovators, program and construction managers and other professionals ... Projects include tanker truck fuel receipt, marine vessel fuel receipt, aboveground and underground ...

AWC

Project Manager

Conyers, GA · On-site

Computer skills, ability to use Microsoft Office/Teams tools to analyze and solve routine problems ... Bachelors of Science in Engineering discipline (Mechanical, Electrical, or Industrial Distribution

AWC

Project Manager

Atlanta, GA · On-site

Computer skills, ability to use Microsoft Office/Teams tools to analyze and solve routine problems ... Bachelors of Science in Engineering discipline (Mechanical, Electrical, or Industrial Distribution

AWC

Project Manager

Savannah, GA · On-site

Computer skills, ability to use Microsoft Office/Teams tools to analyze and solve routine problems ... Bachelors of Science in Engineering discipline (Mechanical, Electrical, or Industrial Distribution

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All JobsMarine Computer Science JobsMarine Computer Science Jobs in Georgia

Marine Computer Science information

See Georgia salary details

$20.7K

$40.9K

$66.7K

How much do marine computer science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for marine computer science in Georgia is $40,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $43,900.00 per year, depending on experience, location, and employer.

What kind of jobs can I get with a marine science degree?

A marine science degree can lead to careers such as marine biologist, oceanographer, marine technician, environmental consultant, or research scientist. These roles often involve fieldwork, data analysis, and working with specialized tools like sonar or GIS software, sometimes requiring certifications or advanced degrees.

Does NASA hire marine biologists?

NASA primarily hires scientists and engineers for space and aeronautics research, and it does not typically employ marine biologists. However, interdisciplinary skills in data analysis, remote sensing, and environmental science can be valuable in related research areas, especially when working with satellite data or Earth observation projects. Marine biology is more commonly associated with agencies like NOAA or environmental research institutions.

What is a Marine Computer Science job?

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 is the highest paid job in marine science?

In marine science, the highest paid roles are often marine engineers, oceanographers, or marine project managers, especially those with advanced degrees and specialized skills in subsea technology, data analysis, or environmental consulting. Senior positions in research, industry, or government agencies tend to offer the highest salaries, often exceeding six figures annually.

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 the key skills and qualifications needed to thrive in the Marine Computer Science position, and why are they important?

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 job should I do if I love the ocean?

Marine computer science professionals work on developing software, data analysis, and systems for ocean-related research, navigation, and environmental monitoring. These roles often require programming skills, knowledge of marine environments, and familiarity with tools like GIS and remote sensing technology. Careers can include oceanographic data analyst, marine software engineer, or research technician in marine technology.
What are the most commonly searched types of Marine Computer Science jobs in Georgia? The most popular types of Marine Computer Science jobs in Georgia are:
What are popular job titles related to Marine Computer Science jobs in Georgia? For Marine Computer Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Marine Computer Science jobs in Georgia look for? The top searched job categories for Marine Computer Science jobs in Georgia are:
Marine Computer Science jobs near you

Machine Learning Engineer

Five and Fly, LLC.

Atlanta, GA • On-site

Full-time

Posted 22 days ago

Job description

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.
 
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
  • Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
  • Implement RAG pipelines using vector databases.
  • Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
  • Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
  • Integrate memory, evidence packs, and explainability modules into agentic pipelines.
  • Work hands-on with multiple LLM ecosystems:
    • OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs).
    • Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
    • Google Gemini (multimodal reasoning, advanced RAG integration).
    • Meta LLaMA (fine-tuned/custom models for domain-specific tasks).
Data & Infrastructure
  • Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads.
  • Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data.
  • Implement model monitoring, drift detection, and retraining pipelines.
  • Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.
Research & Applied Innovation
  • Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns.
  • Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data).
  • Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines.
  • Translate research prototypes into production-ready components.
Collaboration & Delivery
  • Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features.
  • Participate in design reviews, architecture discussions, and model evaluations.
  • Document processes, experiments, and results effectively for knowledge sharing.
  • Mentor junior engineers and contribute to ML engineering best practices.
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
  • 3+ years of experience building and deploying ML systems.
  • Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated experience with at least two of the following ecosystems:
    1. OpenAI GPT models (chat, assistants, fine-tuning).
    2. Anthropic Claude (safety-first AI for reasoning and summarization).
    3. Google Gemini (multimodal reasoning, enterprise-scale APIs).
    4. Meta LLaMA (open-source, fine-tuned models).
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Ability to work with structured and unstructured data at scale.
  • Knowledge of SQL and distributed data frameworks (Spark, Ray).
  • Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring.
Preferred Qualifications
  • Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
  • Knowledge of AI safety, guardrails, and explainability techniques.
  • Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure).
  • Experience with CI/CD for ML (MLOps), monitoring, and observability.
  • Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or publications in applied ML research.
US Army:
17D - Cyber Capability Developer
17C - Cyber Operations Specialist (Advanced Track)
35Q - Cryptologic Network Warfare Specialist
35N / 35P / 35S (Intel Analysts w/ coding exposure)
US AirForce:
17X - Cyberspace Warfare Operations
1B4X1 - Cyber Warfare Operations
9S100 - Scientific Applications Specialist
3D0X4 / 1D7X1 (Software / Data Ops variants)

US Navy:
CTN - Cryptologic Technician (Networks)
CTI / CTR (with analytics focus)
Information Warfare Officers (1810)
US Marine Corps:
1721 - Cyberspace Warfare Operator
26XX Intel (with data/automation focus)
US Space Force:
Cyber Operations (DCO/OCO) Guardians

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