Senior Staff Machine Learning Engineer

Responsibilities Design, develop, and optimize advanced AI models (e.g., CNN, NLP, VLM, LLM) for deployment on device platforms such as Intel, NVIDIA, Ambarella, and Hailo. Perform model conversion and adaptation using frameworks like TensorFlow/TensorFlow Lite, PyTorch, ONNX, and TensorRT, ensuring compatibility and performance. Develop and fine-tune custom kernels and operators with low-level programming (C/C++, CUDA) to maximize efficiency. Collaborate on hardware-software co-design initiatives to integrate AI solutions seamlessly. Optimize model performance, latency, and power efficiency on device. Provide technical expertise, detailed documentation, and insights to support cross-functional teams. Requirements Bachelor's/Master's degree in Computer Science, Machine Learning, or any related fields. 3- 5 years of hands-on experience in AI model development, optimization, and deployment. Expert in using framework TensorFlow, PyTorch, and conversion tools (ONNX, TensorRT, OpenVINO). Strong understanding of AI model architectures (CNN, NLP, VLM, LLM) and proficiency in training and evaluation techniques. Proven experience with hardware architectures and optimization techniques. Creative, proactive, and independence in learning and problem-solving. Outstanding analytical and problem-solving skills. Team player. Fluent in verbal and written in English language. Benefits Compensation & bonus: 13th & 14th salary, AIP bonus, Holidays, Tet, and Long year service … Social insurance, Health insurance, Unemployment insurance: by Social Insurance and Labor Law The regime of annual leave, company trip, and checkup examination Award for marriage, newborn We have AON insurance package for employee, spouse, and children every year You will be trained, learned & work with the best technical managers who help you improve various dev skills & career path You’ll love working in our dynamic environment employees, young & active We love sport activities, as marathon, football, swimming,... Working time: From Monday to Friday | 08:30-12:00 & 13:00-17.30