A deep-tech startup building real-time vision intelligence systems, is looking for a senior applied researcher to take full ownership of a core domain - from research to production. The company is tackling one of the hardest perception challenges - early detection of low-visibility targets such as drones and vessels. The systems are deployed in real-world environments and have direct impact on safety and life-saving operations.
Responsibilities:
Own a computer vision / AI domain end-to-end - from problem definition to production deployment
Develop new algorithms and improve existing models with measurable performance impact
Design and execute experiments, analyze results, and iterate rapidly
Integrate research directly into production systems and codebase
Collaborate closely with researchers and engineers to deliver real-world solutions
Requirements: 5+ years of experience in Computer Vision / Deep Learning with production exposure
Proven ability to take complex problems from research to working solutions
Strong experimental skills - ability to design, evaluate, and iterate effectively
Strong coding skills in Python and experience with PyTorch
Experience working within production codebases (not only research environments)
Understanding of data lifecycle: collection, validation, and evaluation methodologies
Independent, curious, and collaborative mindset
Nice to Have:
Experience with low-resolution, long-range, video, or thermal imaging
Experience with embedded / edge deployment (ONNX, TensorRT, on-device inference)
This position is open to all candidates.