Job Description
Are you ready to define the future of computing?
Quantum Horizon Labs is seeking a visionary Senior AI Architect to spearhead our research into Artificial General Intelligence (AGI) and autonomous systems. As we prepare for the technological paradigm shift of 2026, we need a leader who can architect scalable, resilient, and revolutionary neural networks.
In this role, you won't just implement existing models; you will help define the next generation of deep learning infrastructure. We are looking for a problem-solver who thrives in ambiguity and is passionate about building systems that think, learn, and adapt.
Why Join Us?
- Future-Ready Technology: Work on cutting-edge projects that are shaping the landscape of 2026 and beyond.
- Top-Tier Compensation: Competitive salary plus equity package.
- Flexible Environment: Hybrid work model in the heart of San Francisco's tech district.
Responsibilities
- Architect and deploy advanced deep learning models, specifically focusing on Transformer architectures and Reinforcement Learning for the 2026 computing horizon.
- Lead the design of scalable data pipelines capable of processing petabytes of unstructured data for training next-gen AI agents.
- Collaborate with cross-functional teams to integrate AI solutions into real-time consumer and enterprise applications.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research and prototype novel algorithms to improve model efficiency, accuracy, and energy consumption.
- Ensure system reliability and security in high-stakes environments through rigorous testing and deployment strategies.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Proven experience (5+ years) in designing and implementing large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, or TensorFlow, with deep knowledge of CUDA and GPU optimization.
- Strong understanding of Natural Language Processing (NLP), Computer Vision, or Multimodal Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to lead technical roadmaps and communicate complex concepts to diverse stakeholders.