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Ai Transportation Jobs (NOW HIRING)

Ably

Developer Relations Manager

That intelligence flows to DevEx, Product, AI Transport engineering and to sales and marketing (who own the outreach and re-engagement decisions). Your job is pattern recognition and signal ...

Arhaus

Transportation Analyst

Boston Heights, OH

The transportation analyst is responsible for planning and execution of the domestic inbound and ... AI CODE OF CONDUCT At Arhaus, we believe great hiring starts with authentic human connection.

Elite Staffing

Transportation Clerk

University Park, IL · On-site

$21/hr

Transportation Clerk Requirements: This individual will need solid computer and people skills. Also ... AI may be used to collect information and grade, rank, or score your answers. All employment ...

Meta

Global Transportation Planning Manager

Menlo Park, CA · On-site

$134K - $189K/yr

... AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) • Experience managing global or multi-region transportation programs • Experience in the technology sector or ...

CBRE

Transportation Program Analyst

Atlanta, GA · On-site

About the Role As our Transportation Program Analyst, you will be at the heart of our mission to ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

Aerotek

Transportation Supervisor

Sioux City, IA

$75K - $85K/yr

***Transportation Supervisor - $75,000-$85,000/year*** Sioux City, IA * Mon-Fri, 6am-2:30pm Overview ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

New

Mistral AI

AI Scientist

New York, NY · On-site

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools ... transportation allowances, and other location-specific perks. For the most up-to-date details on ...

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Ai Transportation information

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How much do ai transportation jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai transportation in the United States is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $22.36 per hour, depending on experience, location, and employer.

What is AI transportation?

AI Transportation refers to the use of artificial intelligence technologies to improve and automate various aspects of transportation systems. This includes self-driving vehicles, intelligent traffic management, route optimization, predictive maintenance, and smart logistics. AI helps increase safety, efficiency, and sustainability in transportation by analyzing large amounts of data and making real-time decisions. The field is rapidly evolving and is being adopted by public transit systems, freight companies, and private vehicle manufacturers worldwide.

What are some common challenges faced by professionals working in AI transportation roles?

Professionals in AI transportation often encounter challenges such as integrating advanced AI solutions with legacy transportation systems, ensuring data quality for effective machine learning models, and addressing safety and regulatory requirements. Collaborating with multidisciplinary teams—including engineers, data scientists, and city planners—is crucial for developing practical and scalable solutions. Additionally, adapting quickly to evolving technologies and industry standards is essential for success and career growth in this dynamic field.

What are the key skills and qualifications needed to thrive as an AI transportation specialist, and why are they important?

To thrive as an AI Transportation Specialist, you need expertise in data analysis, machine learning, transportation systems, and typically a degree in computer science, engineering, or a related field. Familiarity with programming languages (such as Python), simulation tools, and AI frameworks, along with knowledge of transportation management systems, is usually required. Strong problem-solving, collaboration, and communication skills help navigate complex projects and coordinate across multidisciplinary teams. These skills are vital to develop, implement, and optimize intelligent transportation solutions that enhance efficiency, safety, and sustainability in modern transit networks.

What is the difference between Ai Transportation vs Truck Driver?

AspectAi TransportationTruck Driver
Required CredentialsMay require specialized training in AI systems, logistics, or transportation technologyCommercial Driver's License (CDL), driving experience
Work EnvironmentTechnology-driven, often in offices, warehouses, or on the road with autonomous vehicle systemsOn the road, in trucks, and at loading docks
Employer & Industry UsageLogistics companies, tech firms integrating AI, transportation servicesFreight companies, logistics firms, delivery services
Common Search & Comparison IntentUnderstanding roles in AI-driven transportationTraditional trucking and freight roles

Ai Transportation professionals focus on managing and developing AI systems for transportation, often requiring technical skills and familiarity with AI technology. Truck Drivers operate vehicles manually, primarily handling freight and deliveries. While both roles are part of the transportation industry, Ai Transportation emphasizes technology and automation, whereas Truck Drivers focus on hands-on driving and logistics execution.

What cities are hiring for Ai Transportation jobs?

Cities with the most Ai Transportation job openings:

What states have the most Ai Transportation jobs?

States with the most job openings for Ai Transportation jobs include:

What job categories do people searching Ai Transportation jobs look for?

The top searched job categories for Ai Transportation jobs are:

Ai Transportation jobs near you
Infographic showing various Ai Transportation job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $41,891 per year, or $20.1 per hour.

AI Scientist - Transportation & Logistics

Avathon

San Francisco, CA • Hybrid

Full-time

Posted 4 days ago

Job description

Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

About the Role

About Avathon

We're hiring a 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 an experienced 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
  • 6+ 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. Expect atleast two-three rounds of Technical interviewing rounds and one onsite round.

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

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

Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.