Who We Are

Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems.

The role You will own the detection and tracking models that power Helsing's products — training, tuning, and deploying models against US-specific datasets. This is an applied ML role: you won't be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. You will manage the full model lifecycle — from assessing and curating training data through annotation, training, evaluation, and deployment to edge platforms.

Nice To Have

Strong proficiency in Rust or C++ for production model deployment and optimization Experience with multiple sensor modalities — particularly infrared or thermal imaging Familiarity with MLOps tooling: experiment tracking (MLflow, Weights Biases), dataset versioning, model registries Experience with annotation tools and workflows (CVAT, Label Studio, or similar) Background in computer vision beyond detection — segmentation, pose estimation, activity recognition Experience with simulators, emulators, or synthetic data generation for training and evaluation Experience deploying models on GPU-accelerated embedded platforms (NVIDIA Jetson, similar) Background in defense, intelligence, or other mission-critical environments Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique.

Requirements

and constraints, and where robustness, safety, and ethical considerations are vital.

Machine Learning Engineer, Detection and Tracking