Job Description

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