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Drones Machine Learning Jobs (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA

We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA

We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

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Drones Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do drones machine learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for drones machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Drones Machine Learning vs Drones Data Analyst?

AspectDrones Machine LearningDrones Data Analyst
Required SkillsProgramming, ML algorithms, drone technologyData analysis, visualization, statistical skills
Work EnvironmentResearch labs, tech companies, drone development firmsOperational sites, data centers, research institutions
CertificationsMachine Learning certifications, drone operation licensesData analysis certifications, GIS certifications
Industry UsageDeveloping autonomous drone systems, AI integrationAnalyzing drone data for insights, reporting

While Drones Machine Learning specialists focus on developing AI models and algorithms for drone systems, Drones Data Analysts interpret drone-collected data to generate actionable insights. Both roles require technical skills but serve different stages of drone data utilization and development.

How do professionals in Drones Machine Learning typically collaborate with hardware and flight operations teams?

In Drones Machine Learning roles, collaboration with hardware and flight operations teams is essential to ensure that machine learning models are effectively integrated and tested on physical drones. You will often work closely with hardware engineers to align sensor data collection with model requirements, as well as with flight operations to plan and execute test flights that validate your algorithms in real-world conditions. This cross-disciplinary teamwork helps in troubleshooting issues that arise due to environmental variables and hardware limitations, making communication and flexibility key components of the role.

What are the key skills and qualifications needed to thrive in Drones Machine Learning, and why are they important?

To excel in Drones Machine Learning, you need a strong background in computer science, machine learning algorithms, and robotics, often supported by a relevant degree and experience in programming languages such as Python or C++. Familiarity with drone hardware, sensor integration, simulation tools, and frameworks like TensorFlow or OpenCV is typically required, as well as certifications in AI or UAV operation. Strong problem-solving, analytical thinking, and effective communication skills help professionals innovate and collaborate on complex projects. These competencies are essential to develop intelligent drone systems capable of advanced perception, navigation, and autonomous decision-making.

What are Drones Machine Learning specialists?

Drones Machine Learning specialists are professionals who use artificial intelligence and machine learning techniques to enable drones (unmanned aerial vehicles) to perform complex tasks autonomously. Their work involves developing algorithms that help drones recognize objects, navigate environments, and analyze data collected from sensors or cameras. These specialists may work in fields like agriculture, surveillance, mapping, or delivery services, improving the capabilities and efficiency of drones. Their expertise is crucial in making drones smarter, safer, and more adaptable to various applications.
Infographic showing various Drones Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Director of Machine Learning

Director of Machine Learning

Gather AI

Pittsburgh, PA

Other

Posted 12 days ago

Job description

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high-visibility role with a direct line to executive leadership and significant influence over product direction.

About the Role

We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12-18 months.

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team.

What You'll Do

  • Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
  • Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
  • Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
  • Build out MLOps infrastructure - model training pipelines, deployment, monitoring, and CI/CD for ML workloads
  • Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
  • Partner with Product and Operations to translate customer needs into ML-driven product capabilities

What You'll Need

  • 10+ years building and scaling production ML or computer vision systems
  • 5+ years managing and growing ML engineering teams
  • Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
  • Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
  • MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)

Nice to Have

  • Experience with drone, robotics, or autonomous systems perception
  • Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
  • Familiarity with warehouse, logistics, or supply chain domain
  • Experience with AWS or GCP ML services (SageMaker, Vertex AI)

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