Job Description
We are building the foundation for the future. Zai Future Labs is seeking a visionary Senior AI Architect to spearhead Project 2026, our ambitious initiative to engineer the next generation of autonomous cognitive systems.
In this pivotal role, you will design and deploy scalable machine learning infrastructure capable of processing real-time global data streams. You won't just be maintaining legacy systems; you are architecting the neural pathways that will define the technological landscape of the year 2026 and beyond.
Join a team of elite engineers and researchers pushing the boundaries of what is possible. We offer competitive compensation, equity packages, and the opportunity to work on groundbreaking technology that impacts millions.
Responsibilities
- Architect the 2026 Core: Design and implement the high-level system architecture for Project 2026, ensuring scalability, security, and fault tolerance.
- Optimize Neural Networks: Lead research and development to optimize deep learning models for inference speed and energy efficiency.
- Cloud Infrastructure Strategy: Oversee the deployment of AI workloads on hybrid cloud environments, utilizing cutting-edge serverless and edge computing technologies.
- Technical Mentorship: Guide a team of junior data scientists and machine learning engineers, fostering a culture of innovation and excellence.
- Roadmap Execution: Define the technical roadmap for AI capabilities, translating business objectives into actionable technical milestones.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience: Minimum of 8 years of experience in software engineering with a heavy focus on AI and Machine Learning.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Domain Knowledge: Demonstrated experience with LLMs (Large Language Models), NLP, or Computer Vision.
- Problem Solving: Exceptional ability to solve complex, unstructured problems in ambiguous environments.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects.