AI Algorithm Engineer

Company Description Zuler is a global leader in remote desktop and cloud computing technologies, specializing in ultra-low latency, high-resolution solutions with their proprietary ZeroSync® Engine. With millions of users and enterprise subscribers worldwide, Zuler is revolutionizing connectivity and accessibility to high-performance computing. The company is backed by significant investments, patents, and a diverse team of industry experts. About the Role We are seeking a curious and passionate AI Algorithm Engineer to help build the next generation of AI Native product experiences. You will work closely with real-world product scenarios, deeply integrating large language models and multimodal AI technologies into user interactions, driving engineering excellence and continuous evolution of core AI capabilities. Key Responsibilities • Integrate large language and multimodal models (e.g. Qwen-VL, DeepSeek) into product workflows, including lightweight fine-tuning and inference optimization when needed • Design and deliver innovative AI features, such as intelligent agents, content generation, and automated task orchestration • Contribute to the development and iteration of AI evaluation systems, ensuring stability, performance, and user-centric quality metrics • Track cutting-edge research and rapidly apply valuable innovations into key product scenarios • Support data operations including preprocessing, augmentation, and quality monitoring • Collaborate closely with client-side engineering and product teams to ensure seamless AI experience across platforms Requirements Core Skills & Foundational Knowledge • Master's degree or above in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, or related fields (Outstanding undergraduates, recent graduates or candidates within 2 years of graduation are welcome) • Strong programming and engineering mindset, proficient in Python throughout the AI development lifecycle • Solid understanding of machine learning & deep learning fundamentals: optimization, generalization, data quality, etc. • Familiarity with key AI domains such as LLMs, computer vision, multimodal learning, and model compression • Quick learner of common AI toolchains including PyTorch and Transformers • Experience working in Linux environments with strong debugging and practical engineering skills Problem-Solving & Growth Mindset • Structured problem-solving skills with the ability to balance trade-offs under constraints • Self-motivated, curious, and eager to explore and master new technologies • Able to learn from data and experiment results, continuously improving solutions Product Sense & Collaboration • Ability to translate AI capability into intuitive, efficient product experiences • Strong communication and teamwork skills, able to collaborate effectively across functions Preferred Qualifications • Contributions to open-source communities, publications, or notable competition results • Hands-on experience in intelligent agents, generative AI, or model deployment • Deep interest in AI Native product concepts or personal project achievements Language & Communication • Fluent/Business level English • Fluent Mandarin communication skills for daily technical discussions and teamwork with internal Mandarin-speaking stakeholders in China What You Will Gain • The opportunity to co-create AI Native products with top-tier engineers and designers, delivering real impact to global users • A frontier challenge environment - where no standard answers exist, and the code you write could shape industry milestones • Strong ownership and accelerated growth: from exploration to product decision-making and full-stack delivery, you will actively expand both product and technology boundaries