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Maritime Logistics Jobs (NOW HIRING)

The ideal candidate will bring strong leadership, operational expertise, and a deep understanding of logistics within the maritime and port environment. Key Responsibilities * Lead and manage all ...

Logistics Coordinator

Baltimore, MD · On-site

$19.25 - $25.50/hr

Vane Brothers is seeking a Baltimore-based Logistics Coordinator responsible for coordinating and ... Scheduling experience and familiarity with the maritime industry (particularly tugboats/barges) is ...

Logistics Coordinator

Baltimore, MD · On-site

$80K - $90K/yr

Vane Brothers is seeking a Baltimore-based Logistics Coordinator responsible for coordinating and ... Scheduling experience and familiarity with the maritime industry (particularly tugboats/barges) is ...

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Maritime Logistics information

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How much do maritime logistics jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for maritime logistics in the United States is $20.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Maritime Logistics position, and why are they important?

To thrive in Maritime Logistics, a strong understanding of supply chain management, shipping regulations, and maritime operations is crucial, typically complemented by a degree in logistics, supply chain, or maritime studies. Familiarity with specialized software such as logistics management systems (LMS), cargo tracking technologies, and knowledge of international shipping certifications like IMDG or STCW is highly valuable. Exceptional organizational skills, adaptability, and clear communication are important soft skills that help coordinate complex shipping schedules and work within cross-functional teams. These skills are essential for ensuring smooth, efficient transport of goods and maintaining compliance in a dynamic, global environment.

What is the highest paying maritime job?

The highest paying maritime jobs are typically senior positions such as ship captains or chief engineers, with captains earning salaries often exceeding $150,000 annually. These roles require extensive experience, certifications, and leadership skills, and involve overseeing vessel operations and safety.

What is the highest paid job in logistics?

In maritime logistics, senior roles such as Logistics Director or Supply Chain Vice President tend to be the highest paid, often earning six-figure salaries. These positions require extensive experience, strategic planning skills, and often involve overseeing large teams and complex operations.

What is a Maritime Logistics job?

A Maritime Logistics job involves managing the transportation, storage, and distribution of goods via sea routes. Professionals in this field coordinate shipping schedules, oversee cargo handling, ensure compliance with international regulations, and optimize supply chain efficiency. They work with shipping companies, port authorities, and logistics firms to ensure smooth operations. Strong knowledge of maritime regulations, supply chain management, and logistics technology is essential for success in this role.

Is marine logistics a good career?

Maritime logistics is a viable career that involves coordinating the movement of goods via ships, ports, and supply chains. It requires skills in planning, communication, and knowledge of shipping regulations, with opportunities for advancement in global trade and transportation industries.

How much do marine logistics make?

Marine logistics professionals typically earn between $50,000 and $90,000 annually, depending on experience, location, and specific responsibilities. Higher salaries are common for those with specialized skills, certifications, or managerial roles in the industry.

What kinds of day-to-day challenges can I expect to encounter in a Maritime Logistics role?

Professionals in maritime logistics often manage the coordination of shipments, navigate customs regulations, and handle schedule adjustments due to weather or port delays. Daily responsibilities may include tracking cargo movements, liaising with shipping agents and port authorities, and resolving unexpected logistical issues. Effective problem-solving and quick decision-making are frequently required, especially when unforeseen disruptions occur. Teamwork and clear communication are key, as you’ll work closely with partners across the supply chain to keep goods moving efficiently.

More about Maritime Logistics jobs
What cities are hiring for Maritime Logistics jobs? Cities with the most Maritime Logistics job openings:
What are the most commonly searched types of Maritime Logistics jobs? The most popular types of Maritime Logistics jobs are:
What states have the most Maritime Logistics jobs? States with the most job openings for Maritime Logistics jobs include:
What job categories do people searching Maritime Logistics jobs look for? The top searched job categories for Maritime Logistics jobs are:

Senior AI Scientist - Transportation & Logistics

Avathon

Pleasanton, CA • On-site

$160K - $240K/yr

Other

Medical, Retirement

Posted 29 days ago


Key responsibilities

  • Design and implement advanced optimization and machine learning models for transportation and logistics problems such as fleet optimization, routing, scheduling, and demand forecasting.

  • Collaborate with engineering, product, and operations teams to deploy scalable AI solutions into production environments.

  • Lead AI initiatives and mentor junior scientists while translating business problems into AI solutions.


Job description


About the Role

About Avathon

We're hiring a Senior AI Scientist (Transportation & Logistics) at Avathon - where AI meets the real world.
This is a high-impact role at the intersection of operations research, reinforcement learning, and large-scale data systems, focused on building intelligent solutions that transform transportation and logistics networks.

We are looking for a Senior AI Scientist to lead the design and deployment of advanced optimization and machine learning systems across complex transportation ecosystems. You will work on real-world challenges such as routing, scheduling, network optimization, demand forecasting, and asset utilization across multimodal logistics environments including FCL, LCL, FTL, LTL, intermodal, and maritime transportation.

This role offers the opportunity to drive innovation in vessel scheduling, container repositioning, fleet optimization, and dynamic routing, while collaborating closely with engineering, product, and operations teams to bring scalable AI solutions into production.

Key Responsibilities 

AI/ML Model Development 

  • Design and implement advanced models for: 
  • Fleet optimization and capacity planning 
  • Vehicle routing and scheduling (VRP, TSP variants) 
  • Demand forecasting and optimization 
  • Apply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches 

Transportation Domain Solutions 

Build solutions for: 

  • Maritime logistics (vessel scheduling, port operations) 
  • Container repositioning and imbalance optimization 
  • Truckload (FTL), less-than-truckload (LTL), and intermodal routing 
  • Incorporate real-world constraints (time windows, capacity, regulations, SLAs) 

AI Engineering & Deployment 

  • Productionize models using scalable architectures (cloud-native, APIs) 
  • Collaborate with engineering teams to deploy AI solutions into production 
  • Ensure robustness, explainability, and monitoring of models 

Data & Feature Engineering 

Work with large-scale datasets: 

  • Shipment data, GPS/telematics, weather, port congestion, tariffs 
  • Build feature pipelines and data validation frameworks 

Leadership & Strategy 

  • Lead AI initiatives and mentor junior scientists 
  • Translate business problems into AI solutions 
  • Partner with product, operations, and stakeholders to define roadmaps 

Required Qualifications 

  • PhD in Computer Science, Operations Research, Applied Math, or related quantitative field 
  • 10-15+ years of experience in AI/ML or optimization, or Supply Chain planning systems

Strong expertise in: 

  • Python (NumPy, Pandas, PyTorch/TensorFlow) 
  • Optimization tools (Gurobi, CPLEX, OR-Tools) 
  • Deep knowledge of: 
  • Routing algorithms (VRP, shortest path, heuristics/metaheuristics) 
  • Time-series forecasting and probabilistic modeling 
  • Experience deploying models in production environments 

Preferred Qualifications 

  • Experience in transportation, logistics, or supply chain domain 
  • Familiarity with Maritime shipping or fleet scheduling 
  • Container logistics and repositioning problems 

Experience with: 

  • Reinforcement learning for dynamic decision-making 
  • Digital twins and simulation systems 
  • Knowledge of cloud platforms (GCP, AWS, Azure) 
  • Experience with streaming data (Kafka, Spark) 

Key Skills 

  • Optimization + Machine Learning hybrid modeling 
  • Strong problem-solving and mathematical modeling skills 
  • Ability to handle ambiguous, real-world constraints 
  • Communication skills to explain complex models to business stakeholders 

Publications / Patents: 

  • Strong plus if you have published in AI/ML/OR conferences (NeurIPS, ICML, INFORMS, etc.) 

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $160k - $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.