Allen Control Systems
Machine Learning Engineer
Machine Learning Engineer
Drone Defense Turret Systems Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. Position Overview: We are seeking a Machine Learning Engineer with hands-on experience in ML-based computer vision, along with strong proficiency in C++ and Python. You'll be part of a high-impact team developing and optimizing ML models for deployment in performance-critical environments. What You'll Do: Develop cutting-edge computer vision models to meet our needs, and train them using our large training data sets. Optimize our inference pipeline for embedded GPUs, using CUDA, C++, and Python. Improve real-time embedded UAS detection and tracking capabilities. Contribute to development of ML training and testing workflows. What You'll Need: 3+ years of experience in machine learning, ideally with a focus in ML-based computer vision. Strong experience with CUDA and/or embedded ML frameworks (e.g., TensorRT, TFLite, ONNX Runtime). Proficient in both C++ and Python for ML and systems-level development. Experience with model optimization techniques (quantization, pruning, etc.). Educational Background: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Solid understanding of computer architecture and performance tuning. You'll Stand Out: You've built your own side/hobby projects involving ML or computer vision. 5+ years of industry experience. Experience deploying ML models on edge devices. Knowledge of signal processing, sensor data fusion, or classical computer vision. 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.
Machine Learning Engineer
Drone Defense Turret Systems Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. Position Overview: We are seeking a Machine Learning Engineer with hands-on experience in ML-based computer vision, along with strong proficiency in C++ and Python. You'll be part of a high-impact team developing and optimizing ML models for deployment in performance-critical environments. What You'll Do: Develop cutting-edge computer vision models to meet our needs, and train them using our large training data sets. Optimize our inference pipeline for embedded GPUs, using CUDA, C++, and Python. Improve real-time embedded UAS detection and tracking capabilities. Contribute to development of ML training and testing workflows. What You'll Need: 3+ years of experience in machine learning, ideally with a focus in ML-based computer vision. Strong experience with CUDA and/or embedded ML frameworks (e.g., TensorRT, TFLite, ONNX Runtime). Proficient in both C++ and Python for ML and systems-level development. Experience with model optimization techniques (quantization, pruning, etc.). Educational Background: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Solid understanding of computer architecture and performance tuning. You'll Stand Out: You've built your own side/hobby projects involving ML or computer vision. 5+ years of industry experience. Experience deploying ML models on edge devices. Knowledge of signal processing, sensor data fusion, or classical computer vision. 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.