Computer Vision Engineer

Grey Matters Defense Solutions • Centennial, CO

1d • $60 - $93 • Hybrid

About The Position

As a Machine Learning Engineer at Grey Matters, you will solve real-world problems relevant to the Intelligence Community (IC) and Department of Defense (DoD) using a combination of FOSS, GOTS, and COTS software and hardware. You will contribute to the full AI development lifecycle, from research and feasibility prototyping through integration, development, and product deployment.

Requirements

• Active Top Secret security clearance
• Experience in machine learning, computer vision, or related AI/ML fields
• Strong foundation in algorithm development and data-driven problem solving
• Ability and willingness to write production-quality software in support of ML systems
• Interest in working with geospatial, sensor, or hyperspectral data (experience is a plus, but not required)
• A collaborative mindset and desire to contribute to a team where the whole is greater than the sum of its parts

Responsibilities

• Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data
• Build algorithms for detection, tracking, and data fusion across complex datasets
• Collaborate across small, multidisciplinary teams to translate research into deployable capabilities
• Contribute to both algorithm development and software implementation, helping turn innovative approaches into mission-ready systems
• Support solutions deployed across cloud and low size, weight, and power (SWaP) environments
• You’ll have the opportunity to work across multiple programs, applying your skills where they’re most impactful while growing your expertise in new domains

Benefits

• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• voluntary benefits such as accident, hospital indemnity, and wellness benefits
• 25% (of salary) employer contribution distributed monthly to your SEP IRA
• Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
• Employee assistance program
• Employee discount
• Health savings account
• Referral program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed