Job Description
We are pioneering the 2026 Evolution Initiative, a groundbreaking research project aimed at redefining the boundaries of autonomous decision-making systems. We are looking for a visionary Lead AI Architect to spearhead the development of next-generation neural architectures that will set the standard for the industry.
As a key member of our elite research division, you will bridge the gap between theoretical machine learning and real-world deployment. This is not just a job; it is an opportunity to define the trajectory of artificial intelligence for the next decade. If you are passionate about the future and thrive in a high-performance, fast-paced environment, we want to hear from you.
Why join us?
- Work on the cutting edge of the 2026 roadmap.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with access to premium SF amenities.
Responsibilities
- Architect and deploy scalable deep learning models for the 2026 Initiative infrastructure.
- Lead a cross-functional team of data scientists and engineers to translate research into production-ready code.
- Define the technical vision and best practices for model training, validation, and optimization.
- Conduct cutting-edge research to identify novel algorithms that push the boundaries of AGI capabilities.
- Collaborate with product teams to integrate advanced AI features into consumer applications.
- Mentor junior engineers and conduct technical workshops to foster a culture of innovation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5 years of experience in leading AI research and production systems.
- Proven expertise in Python, PyTorch, TensorFlow, and C++.
- Deep understanding of Large Language Models (LLMs), Reinforcement Learning, and Computer Vision.
- Experience with cloud infrastructure (AWS, GCP) and MLOps pipelines.
- Strong track record of publishing in top-tier AI conferences (NeurIPS, ICML, CVPR).
- Exceptional problem-solving skills and the ability to thrive in ambiguity.