Job Description
Are you ready to shape the future of intelligent systems? Project 2026 is seeking a visionary Lead AI Architect to spearhead our next-generation neural network infrastructure. In this role, you won't just write code; you will architect the brain of our platform, pushing the boundaries of what's possible in Generative AI and Large Language Models.
We are a fast-paced, elite engineering team located in the heart of San Francisco. You will work directly with C-level executives to define the technical roadmap for a product that will redefine industry standards by 2026. This is an opportunity to build foundational technology from the ground up.
Responsibilities
- Architect and deploy scalable Machine Learning pipelines using Python and modern frameworks like TensorFlow and PyTorch.
- Lead a high-performing team of data scientists and ML engineers to ensure model accuracy, robustness, and production readiness.
- Optimize deep learning models for real-time inference and low-latency requirements in high-volume environments.
- Collaborate closely with product management and engineering to translate complex business requirements into technical specifications.
- Conduct cutting-edge research to stay ahead of the curve in AI advancements and implement novel solutions.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in building and deploying production-grade AI/ML systems.
- Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.