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Drone Hawaii Jobs (NOW HIRING)

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

Tired of being treated like a company drone? * Tired of promised adventures during the hiring phase ... Honolulu, Hawaii Salary Range: The salary range for this full-time position is $50,000 to $120,000.

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Tired of being treated like a company drone? * Tired of promised adventures during the hiring phase ... Honolulu, Hawaii Salary Range: The salary range for this full-time position is $50,000 to $120,000.

Kamehameha Schools

Security Officer

Campus, IL · On-site

$15.50 - $18.50/hr

Valid Hawaii Driver's license and current driving abstract. * Current DCCA Guard Employee License ... Specialized training in Crisis Intervention, drone operation, defensive tactics, or similar ...

Kamehameha Schools

Security Officer

Honolulu, HI · On-site

$16 - $18.75/hr

Valid Hawaii Driver's license and current driving abstract. * Current DCCA Guard Employee License ... Specialized training in Crisis Intervention, drone operation, defensive tactics, or similar ...

Zillow

Photographer, Zillow Media Experts (San Jose, CA)

$24.10 - $38.50/hr

... drone photography & videos (depending on a business need), and social media videos for for-sale or ... In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia ...

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Showing results 21-36

All JobsDrone Hawaii Jobs

Drone Hawaii information

See salary details

$18

$68

$92

How much do drone hawaii jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for drone hawaii in the United States is $68.64, according to ZipRecruiter salary data. Most workers in this role earn between $68.99 and $81.49 per hour, depending on experience, location, and employer.

What is the difference between Drone Hawaii vs Drone Pilot?

AspectDrone HawaiiDrone Pilot
CertificationsFAA Part 107 CertificationFAA Part 107 Certification
Work EnvironmentFilming, surveying, inspections in HawaiiFlying drones for various industries nationwide
Industry UsageMedia, real estate, agriculture in HawaiiConstruction, agriculture, media across regions

Drone Hawaii typically refers to drone services specific to Hawaii, often performed by certified operators. A drone pilot is a licensed individual who operates drones across various industries and locations. While Drone Hawaii may be a service provider, a drone pilot is the licensed professional executing drone operations. Both roles require FAA Part 107 certification, but their scope and focus differ based on location and application.

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Cities with the most Drone Hawaii job openings:

What states have the most Drone Hawaii jobs?

States with the most job openings for Drone Hawaii jobs include:

What job categories do people searching Drone Hawaii jobs look for?

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Drone Hawaii jobs near you
Infographic showing various Drone Hawaii job openings in the United States as of August 2026, with employment types broken down into 24% Full Time, 74% Part Time, and 2% Contract. Highlights an 33% Physical, and 67% Remote job distribution, with an average salary of $142,761 per year, or $68.6 per hour.

Senior Machine Learning Operations Engineer

New York, NY • On-site

ZeroMark
See more jobs at ZeroMarkexternal

$114K - $157K/yr

Full-time

Re-posted 21 days ago

Job description

About Us
ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.
Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here. Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.
What You'll Do
  • Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
  • Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
  • Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
  • Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
  • Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
  • Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
  • Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.

What You'll Need
  • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
  • Technical Skills:
    • Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
    • Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
    • Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
    • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
    • Experience with MLOps tools and practices.
    • Experience deploying a variety of edge systems.
    • Experience with TensorRT and other similar technologies.
    • Deep knowledge of C++ and Python.
  • Domain Knowledge:
    • Experience or strong interest in defense, aerospace, or related industries is highly desirable.
    • Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
  • Collaboration & Communication:
    • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
    • Ability to translate complex technical concepts into clear and concise language.
  • Problem-Solving:
    • Strong analytical and problem-solving skills, with a proactive and innovative approach.
    • Ability to work independently and manage multiple priorities in a fast-paced environment.

Bonus Points
  • Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
  • Familiarity with real-time ML systems and embedded systems.
  • Contributions to open-source projects or publications in relevant fields.

What We Offer
  • Competitive salary, equity, and benefits package.
  • Opportunity to work on cutting-edge technology with a significant impact on national security.
  • A collaborative work environment that values innovation.
  • Professional development opportunities and career growth.

Apply