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Domain Logistics Jobs in California (NOW HIRING)

BTAS

Senior Systems and Logistics Engineer

El Segundo, CA · On-site

$147K - $250K/yr

SSC/SZBC specializes in highly classified Space Domain Awareness (SDA) systems, Defensive and ... Provide lifecycle logistics support from development to system disposition, including systems ...

AiLO Logistics

Head of Engineering

Glendale, CA · On-site

$120K - $150K/yr

AiLO Logistics is an affiliated company with T3 TMS, this position is a 1099 Independent Contractor ... domain-rich product. The right person for this role is an experienced engineering leader who is ...

Everpure

CX Finance Director

Santa Clara, CA · On-site

Own Finance for Global Technical Services and Service Logistics, with accountability for the financial performance, planning, and operating insight of the domain. * Serve as a strategic business ...

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Domain Logistics information

What is the difference between Domain Logistics vs Supply Chain Coordinator?

AspectDomain LogisticsSupply Chain Coordinator
CredentialsLogistics certifications, supply chain knowledgeLogistics certifications, supply chain knowledge
Work EnvironmentWarehouses, transportation hubs, logistics firmsOffices, warehouses, distribution centers
Employer & IndustryLogistics companies, manufacturing, retailManufacturing, retail, distribution companies
Search & Comparison IntentUnderstanding logistics roles, career optionsComparing logistics and supply chain roles

Domain Logistics focuses on managing specific logistics operations like transportation and warehousing, while Supply Chain Coordinator oversees the entire supply chain process, including procurement and inventory management. Both roles require similar certifications and work in related environments, but their scope and responsibilities differ, with Domain Logistics being more specialized in logistics functions.

What does domain logistics do as a job?

A domain logistics professional manages the planning, coordination, and execution of the movement of goods, services, or information within a specific domain or industry. They often handle supply chain operations, inventory management, and transportation logistics, using tools like logistics software and data analysis to ensure efficient delivery and operations.

What are the key skills and qualifications needed to thrive as a domain logistics specialist?

To excel as a Domain Logistics Specialist, you need expertise in supply chain management, inventory control, and logistics planning, often supported by a relevant degree or certification such as APICS or CSCP. Familiarity with logistics software (e.g., SAP, Oracle SCM), transportation management systems, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you coordinate across teams and resolve issues quickly. These competencies are critical for ensuring efficient movement of goods, reducing costs, and supporting organizational objectives.

What are some common challenges faced by professionals in domain logistics, and how can they be addressed?

Professionals in Domain Logistics often encounter challenges such as coordinating shipments across multiple regions, managing inventory fluctuations, and ensuring timely delivery despite unforeseen disruptions. Effective communication and collaboration with suppliers, carriers, and internal teams are crucial to overcoming these obstacles. Leveraging technology, such as logistics management software and real-time tracking systems, can also help streamline processes and provide greater visibility across the supply chain. Adapting quickly and staying organized are key to succeeding in this dynamic environment.

What is the lowest position in domain logistics?

The lowest position in domain logistics is typically an entry-level role such as a logistics assistant or warehouse associate. These roles involve basic tasks like inventory management, shipping, and receiving, often requiring minimal experience and offering opportunities for advancement. Certifications in supply chain or logistics can help in progressing to higher positions.

What is domain logistics?

Domain Logistics is a company that specializes in providing third-party logistics (3PL) services, including warehousing, distribution, transportation, and supply chain management. They help businesses store, manage, and ship products efficiently, handling everything from inventory management to order fulfillment. Their services are designed to streamline operations and improve delivery times for retailers, manufacturers, and e-commerce businesses. By outsourcing logistics to Domain Logistics, companies can focus on their core activities while benefiting from expert logistics support.
What are popular job titles related to Domain Logistics jobs in California? For Domain Logistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Domain Logistics jobs in California look for? The top searched job categories for Domain Logistics jobs in California are:
What cities in California are hiring for Domain Logistics jobs? Cities in California with the most Domain Logistics job openings:
Domain Logistics jobs near you
Infographic showing various Domain Logistics job openings in California as of July 2026, with employment types broken down into 63% Full Time, 31% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution.

Senior AI Scientist - Transportation & Logistics

Avathon

Pleasanton, CA • On-site

Full-time

Medical, Retirement

Re-posted 9 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 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.
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.

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