Job Description
The Future is Calling. Zai Corp is pioneering the next generation of cognitive computing, and we are looking for a visionary Lead AI Architect to spearhead our Project 2026 roadmap. This is not just a job; it is a mission to redefine the boundaries of artificial intelligence by the year 2026.
In this role, you will operate at the intersection of research and production, building scalable systems that will power the next decade of technological advancement. If you are passionate about solving the hardest problems in AI and want to leave a legacy, we want to meet you.
Why Join Us?
- Impact: Directly influence the core architecture of our flagship AI products.
- Equity: Competitive stock options in a high-growth unicorn.
- Environment: Top-tier engineering culture in the heart of San Francisco.
Apply today to build the future with Zai Corp.
Responsibilities
- Architect the 'Project 2026' Framework: Design and implement the foundational neural network architecture that will serve as the backbone for our upcoming product suite.
- Strategic Roadmapping: Define the technical vision and milestones for AI advancements leading up to and beyond 2026.
- Model Optimization: Lead initiatives to optimize large-scale models for latency, throughput, and energy efficiency in production environments.
- Technical Leadership: Mentor a team of senior ML engineers and data scientists, fostering a culture of innovation and best practices.
- Collaboration: Partner with product managers and researchers to translate complex research papers into deployable, production-ready code.
- Risk Management: Identify potential architectural risks and implement robust mitigation strategies for large-scale AI deployments.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 10+ years of experience in software engineering, with at least 5 years focused specifically on Machine Learning and Deep Learning.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Ray, Kubernetes).
- Architecture: Proven track record of designing scalable, fault-tolerant systems for high-volume data processing.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Vision: A deep passion for the future of AI and a strong interest in long-term strategic planning.