10+ years of experience in machine learning and computer vision, ideally in robotics.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on machine learning.
Senior-level experience developing computer vision systems for real-time applications.
Proficient in Python and C++, with experience in frameworks like TensorFlow or PyTorch.
Experience integrating computer vision algorithms with embedded systems.
Familiarity with sensors such as cameras, LIDAR, and RADAR.
Responsibilities
Develop and optimize computer vision algorithms for drone detection and tracking.
Implement machine learning models for resource-constrained, high-performance environments.
Collaborate with electrical engineers for hardware integration of vision systems.
Conduct testing and validation of algorithms in diverse environmental conditions.
Assist in hardening turret prototypes into military-grade systems.
Benefits
ACS Equity Package
Health, Dental, Vision Insurance
Paid Time Off
Full Job Description
Senior/Staff Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
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.
More than 10+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
At least a Bachelors and/or Masters Degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
A proven track record of senior-level experience 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.
