Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
ACS Equity Package
Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Job summary

Allen Control Systems in Austin, Texas, is seeking a Computer Vision & Machine Learning Engineer to develop algorithms for autonomous anti-drone systems. The ideal candidate will have a Bachelor's degree in Computer Science or Electrical Engineering and 4-7+ years of experience in computer vision and machine learning. Responsibilities include designing systems for real-time detection and collaborating with engineers to integrate technology into hardware. The position offers a competitive salary, equity, and comprehensive health benefits.

Qualifications

  • 4-7+ years of experience with machine-learning-based computer vision.
  • Proven track record in real-time or safety-critical applications.
  • Experience in integrating computer vision algorithms into hardware.

Responsibilities

  • Develop and optimize computer vision algorithms for drone detection.
  • Design and implement machine learning models for constrained environments.
  • Collaborate with electrical engineers to integrate vision systems.

Skills

Machine Learning
Computer Vision
Robotics
Python
C++

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

TensorFlow
PyTorch

Job description

Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
Company Overview

Allen Control Systems (ACS) is a cutting‑edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering‑first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real‑world impact.

What You'll Do
  • 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.
  • 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.
What You'll Need
  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 4-7+ 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 collaborating with other engineers to solve complex technical challenges.
What We Offer
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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