Junior Computer Vision & Machine Learning Engineer – Autonomous Anti-Drone Systems

Company Overview:

We are an innovative defense technology startup led by experienced engineers with deep backgrounds in robotics and software. Our mission is to develop a compact, autonomous gun turret system designed to detect, track, and neutralize small drones and loitering munitions using advanced computer vision and control technologies. The work involves solving complex, high-stakes engineering problems in a fast-moving and impactful environment.

Rooted in a strong engineering culture, our team values technical rigor and forward-thinking innovation. Backed by leadership with a history of successful startups and technology commercialization, we are building systems that aim to redefine modern defense capabilities.

What You’ll Do:

• Assist in the development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.
• Contribute to the design and deployment of machine learning models for use in constrained embedded environments.
• Work with electrical and mechanical engineers to integrate computer vision into turret hardware systems.
• Perform testing and validation of vision algorithms across various environmental conditions to ensure system reliability.
• Support efforts to transition the prototype into a hardened, field-ready product, including adaptation to different engagement scenarios and weapon platforms.

What You’ll Need:

• A strong interest in machine learning, computer vision, and robotics, cultivated through academic or early career experience.
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, with coursework or projects in relevant areas.
• 0-3+ years of experience with machine-learning-based computer vision systems, preferably in real-time or robotics applications.
• Experience developing and deploying software in Python and C++, and familiarity with ML libraries such as TensorFlow, PyTorch, or equivalent.
• Exposure to embedded systems and integrating software with physical hardware.
• Knowledge of sensors like cameras, LIDAR, and RADAR, and how they support autonomy in technical systems.
• A collaborative mindset and eagerness to tackle challenging interdisciplinary engineering problems.

What We Offer:

• Competitive salary
• Equity participation
• Comprehensive health, dental, and vision insurance
• Paid time off

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Ryan Corbett