🛠 Tech Stack

💼 About This Role

You'll design and deploy end-to-end ML pipelines for counter-drone systems used in combat. Your work will directly impact national security by enabling AI-powered threat detection and neutralization. You'll test technology in real-world conditions, from helicopters to military ranges.

🎯 What You'll Do

• Design and implement end-to-end ML pipelines for data ingestion to deployment.
• Collaborate with software engineers to integrate ML models into existing systems.
• Work with computer vision specialists to optimize ML for image and video analysis.
• Research and evaluate new ML algorithms and tools for defense applications.
• Perform rigorous model testing, validation, and performance tuning.

📋 Requirements

• 5+ years of experience in machine learning engineering with production deployments.
• Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Deep knowledge of C++ for edge deployment and performance-critical code.

✨ Nice to Have

• Experience with computer vision tasks like object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.

🎁 Benefits & Perks

• 💰 Competitive salary and equity package.
• 🎯 Impactful work on cutting-edge national security technology.
• 🤝 Collaborative environment that values innovation.
• 📈 Professional development and career growth opportunities.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 180 min

🚩 Heads Up

• Requires 5+ years but also lists education requirement (Bachelor's/Master's) which may filter candidates.
• Role mentions 'work independently' in fast-paced environment, could indicate lack of team support.
• Strong preference for defense industry experience may limit diverse applicants.