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