Our mission at Geniusee is to help businesses thrive through tech partnerships and strengthen the engineering community by sharing knowledge and creating opportunities Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback If you want to work from home or work in the offices in Kyiv or Lviv with stable electricity and Wi-Fi , great — apply right now.
About the project: Country: UK An artificial intelligence platform that upgrades legacy video surveillance systems with real-time detection and instant notifications.
Requirements: ● 2-4 years of experience in computer vision, with a focus on embedded/edge device optimization; ● Experience in real-time computer vision pipelines, including multi-camera synchronization and low-latency edge inference; ● Solid understanding of CNNs and object detection frameworks (e.g., YOLO, RetinaFace, SSD). ● Familiarity with pose/gesture detection and temporal action recognition techniques; ● Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow). ● Experience with image preprocessing, augmentation techniques, and OpenCV. ● Familiarity with evaluation metrics such as precision, recall, and mAP. ● Experience in profiling and optimizing models for latency, throughput, and memory efficiency.
What you will do: ● Communication: Contribute as part of a scrum team dedicated to building high-quality computer vision solutions. Maintain a positive, polite, and open-minded communication style. ● Collaboration: Collaborate effectively with team members and cross-functional teams working on product and model integration. ● Documentation: Keep comprehensive and detailed documentation of model architectures, training procedures, and evaluation results. ● Continuous improvement: Follow the latest research and best practices in computer vision and deep learning, applying new findings to improve models and workflows. ● Planning: Participate in estimation and planning sessions for model development and integration.
Model Development: ● Design and train CNN-based models for object detection and face detection (e.g., YOLO, RetinaFace, SSD). ● Apply data augmentation and preprocessing techniques to improve model robustness. ● Use deep learning frameworks such as PyTorch or TensorFlow for model development and experimentation.
Evaluation and Optimization: ● Evaluate models using metrics like precision, recall, and mAP. ● Analyze and fine-tune models based on evaluation results to meet performance targets.
Embedded Deployment: ● Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment; ● Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon, and Raspberry Pi with Coral Edge TPU.
Performance Profiling: ● Profile models for latency, throughput, and memory efficiency; ● Optimize real-time inference performance to meet strict resource and timing constraints, including multi-camera processing pipelines.
What will you get: ● Competitive salary and good compensation package; ● Exciting, challenging and stable startup projects with a modern stack; ● Corporate English course; ● Ability to practice English and communication skills through permanent interaction with clients from all over the world; ● Professional study compensation, online courses and certifications; ● Career development opportunity, semi-annual and annual salary review process; ● Necessary equipment to perform work tasks; ● VIP medical insurance or sports coverage; ● Informal and friendly atmosphere; ● The ability to focus on your work: a lack of bureaucracy and micromanagement; ● Flexible working hours (start your day between 8:00 and 11:30); ● Team buildings, corporate events; ● Paid vacation (18 working days) and sick leaves; ● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink); ● Compensation for coworking (except for employees from Kyiv and Lviv); ● Corporate lunch + soft skills clubs; ● Unlimited work from home from anywhere in the world (remote); ● Geniusee has its own charity fund.
