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Director Cyber Security Machine Learning Jobs (NOW HIRING)

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 ...

Machine Learning Engineer

Aurora, CO · On-site

$120 - $180/hr

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid‑back and inclusive atmosphere, and exceptional ...

They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.

The Director of Machine Learning will define the ML strategy, lead the computer vision organization, and enhance ML capabilities to drive the company's warehouse intelligence platform.

* Lead the Machine Learning Engineering team * Architect robust, scalable applications using sound engineering principles * Manage the complete data lifecycle from acquisition through model inference ...

Machine Learning Engineer

Honolulu, HI · On-site

$120 - $180/hr

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... Decision-making affects direct area of work and/or work group. * Requires verbal and written ...

Showing results 21-40

Director Cyber Security Machine Learning information

See salary details

$40.5K

$122.9K

$180K

How much do director cyber security machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director cyber security machine learning in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

What cities are hiring for Director Cyber Security Machine Learning jobs?

Cities with the most Director Cyber Security Machine Learning job openings:

What are the most commonly searched types of Cyber Security Machine Learning jobs?

The most popular types of Cyber Security Machine Learning jobs are:

What states have the most Director Cyber Security Machine Learning jobs?

States with the most job openings for Director Cyber Security Machine Learning jobs include:

Director of Machine Learning

Gather AI

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 21 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)