Job Description
Are you ready to architect the future of intelligent systems? Nexus 2026 is at the forefront of Artificial General Intelligence research. We are looking for a visionary Senior AI Architect to lead our R&D division in San Francisco. If you thrive on solving complex problems and building scalable neural architectures, this is your opportunity to define the standard for 2026 and beyond.
Why Join Nexus 2026?
- Work on cutting-edge AGI technologies that will define the next decade.
- Competitive equity and salary packages.
- Collaborate with world-class engineers and data scientists in a high-growth environment.
We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Responsibilities
- Design and implement robust, scalable AI infrastructure for next-generation applications.
- Lead the architecture of deep learning models, specifically in Natural Language Processing (NLP) and Computer Vision.
- Conduct high-level research to explore new methodologies in neural network optimization.
- Collaborate with product and engineering teams to translate theoretical research into production-ready features.
- Mentor junior architects and data scientists, fostering a culture of technical excellence.
- Define technical roadmaps and best practices for AI development within the organization.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5-8 years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or JAX.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP), and MLOps.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.