Senior Machine Learning Engineer

About the Project

We are developing next-generation autonomy systems used by the Armed Forces of Ukraine. Your work will directly impact national defense capabilities and reshape the future of autonomous aerial warfare.

Responsibilities

• Design, train, and deploy real-time ML models for:Visual navigation and SLAM in GPS-denied environmentsReal-time object detection, classification, and trackingTarget prioritization and engagement logic
• Visual navigation and SLAM in GPS-denied environments
• Real-time object detection, classification, and tracking
• Target prioritization and engagement logic
• Collaborate closely with hardware, avionics, and control systems teams
• Develop simulation and synthetic data pipelines to train and test models
• Optimize models for low-latency, low-power embedded hardware
• Establish model evaluation, versioning, and deployment workflows
• Perform research into cutting-edge applicable technology, signature analysis, signal spoofing resistance, and other

Required Qualifications

• 4+ years of experience in applied machine learning or computer vision.
• Strong proficiency in C++, Python, PyTorch/TensorFlow, and ML ops tools
• Hands-on experience with real-time inference on edge devices (e.g., NVIDIA Jetson, ARM-based platforms, Rockchip)
• Familiarity with aerial robotics, autonomous navigation, or defense-related ML systems
• Experience with simulation environments (Gazebo, AirSim, CARLA, etc.).
• Fluency in designing and implementing data collection strategies for supervised and reinforcement learning

Preferred Qualifications

• Master of Science in Computer Science, Robotics, Aerospace Engineering, or related field
• Experience with sensor fusion (IMU, LiDAR, EO/IR cameras)
• Knowledge of electronic warfare countermeasures and resilience techniques
• Background in military UAV systems or embedded AI in tactical platforms

What We Offer

• The opportunity to shape a mission-critical defense technology from the ground up
• A fast-paced result-oriented culture where decisions are driven by data and results
• Competitive compensation
• Access to state-of-the-art testing facilities, hardware, and simulation platforms
• Direct impact on Ukraine’s national security and technological edge