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Machine Learning Computer Vision Engineering Jobs

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

At least a master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. * 9+ years of experience working on machine ...

WI · On-site

$95K - $131K/yr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... With an engineering-first culture, ACS values technical excellence and innovation. Backed by our ...

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Machine Learning Computer Vision Engineering information

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$48.5K

$121.5K

$137.5K

How much do machine learning computer vision engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning computer vision engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Learning Computer Vision Engineering jobs?

For Machine Learning Computer Vision Engineering jobs, the most frequently searched job titles are:

Computer Vision & Machine Learning Engineer, Senior

Austin, TX • On-site

Allen Control Systems
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

$121K - $160K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous gun turrets utilizing advanced computer vision and control systems. The Senior Computer Vision & Machine Learning Engineer will lead the development of algorithms for drone detection and tracking, collaborate with electrical engineers, and mentor junior staff while contributing to the growth of expertise in machine learning and computer vision.
Responsibilities:
• Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 6+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.