Job Description
We are pioneering the next generation of autonomous intelligence and are seeking a visionary Lead AI Architect to join our 2026 Horizon Initiative. As we bridge the gap between current machine learning capabilities and future AGI (Artificial General Intelligence), you will be responsible for designing the architectural backbone of our next-gen systems.
In this pivotal role, you will not only write code but define the future of how machines think, learn, and interact with the world. Join us in San Francisco and help build the intelligence that will define the technological landscape of the next decade.
Responsibilities
- Design and implement scalable, high-performance machine learning infrastructure capable of processing exabytes of data.
- Lead research and development into cutting-edge Neural Architecture Search (NAS) and self-evolving model architectures.
- Establish comprehensive frameworks for AI ethics, safety, and compliance in high-stakes environments.
- Collaborate with cross-functional teams to integrate advanced AI capabilities into consumer and enterprise products.
- Mentor a team of world-class engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- 10+ years of experience in machine learning, deep learning, or AI research with a focus on large-scale systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Proven track record of deploying production-grade AI models at scale with high availability.
- Deep understanding of Generative Adversarial Networks (GANs), Transformers, and Large Language Models (LLMs).