Job Description
We are at the forefront of the next industrial revolution, developing the proprietary 2026 Protocol—a next-generation neural architecture designed to revolutionize autonomous decision-making. We are looking for a visionary Senior AI Engineer to join our elite technical team in San Francisco.
In this role, you will not just implement existing models; you will architect the core intelligence layer for the 2026 ecosystem. You will work with state-of-the-art transformer architectures and real-time data streams to build systems that learn, adapt, and optimize in milliseconds. If you are passionate about pushing the boundaries of what is possible in artificial general intelligence and want to define the standard for 2026, we want to hear from you.
Why Join Us?
- Work on the bleeding edge of the 2026 Protocol.
- Competitive equity package and top-tier healthcare.
- Flexible remote and hybrid work options.
- Access to the latest hardware for model training.
Responsibilities
- Core Architecture: Design and implement the foundational layers of the 2026 Protocol, ensuring scalability and low-latency inference.
- Model Training: Lead the training and fine-tuning of large language models using proprietary datasets specific to the 2026 niche.
- Performance Optimization: Optimize model inference on edge devices and server clusters to maximize throughput and minimize energy consumption.
- R&D: Experiment with novel architectures (e.g., Mixture of Experts, State Space Models) to enhance the 2026 Protocol's capabilities.
- Collaboration: Work closely with cross-functional teams including product managers, security experts, and frontend engineers to integrate AI solutions.
- Deployment: Oversee the CI/CD pipeline for AI models, ensuring robust deployment strategies and monitoring.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed training systems (Ray, Kubernetes).
- Protocol Knowledge: Deep understanding of current trends in Generative AI and the specific requirements of the 2026 Protocol stack.
- Problem Solving: Strong ability to debug complex distributed systems and optimize model performance under constraints.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.