Senior CV & ML Engineer for Real-Time Autonomous Defense

Allen Control Systems; Austin (TX); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

ACS Equity Package

Health, Dental, Vision Insurance

Paid Time Off

Job summary

Allen Control Systems is seeking a Senior/Staff Computer Vision & Machine Learning Engineer in Austin, Texas. You will focus on algorithms for autonomous anti-drone systems, requiring over 10 years of experience in machine learning and robotics. The role involves real-time detection and integration of complex systems.

Offered are competitive salary, equity package, and health benefits. Allen Control Systems is committed to innovation and providing equal employment opportunities.

Qualifications

• 10+ years of experience in machine learning-based computer vision, ideally in robotics.
• Experience with real-time or safety-critical applications.
• Proven track record in deploying computer vision systems.

Responsibilities

• Develop and optimize algorithms for real-time drone detection and classification.
• Design machine learning models for resource-constrained environments.
• Integrate computer vision systems with turret hardware.
• Conduct testing and validation of computer vision algorithms.
• Contribute to prototype turret hardening and variant development.

Skills

Machine learning

Computer vision

Robotics

Python

C++

TensorFlow

PyTorch

Embedded systems

Integration with sensors

Education

Bachelor's or Master's Degree in Computer Science, Electrical Engineering, or related field

Job description

Allen Control Systems is seeking a Senior/Staff Computer Vision & Machine Learning Engineer in Austin, Texas. You will focus on algorithms for autonomous anti-drone systems, requiring over 10 years of experience in machine learning and robotics. The role involves real-time detection and integration of complex systems.

Offered are competitive salary, equity package, and health benefits. Allen Control Systems is committed to innovation and providing equal employment opportunities.