Job Description
Are you ready to architect the intelligence of tomorrow? Nexus 2026 is seeking a visionary Senior AI Architect to lead the development of next-generation neural interfaces and autonomous systems. We are not just building software; we are designing the cognitive infrastructure for the 2026 era.
In this role, you will bridge the gap between theoretical deep learning and real-world deployment, working on projects that define the future of human-machine symbiosis. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and ethical synthetic evolution, we want to hear from you.
Why Join Nexus 2026?
- Work at the forefront of the 2026 technological revolution.
- Competitive compensation package with equity options.
- Flexible, remote-first culture with a vibrant SF office hub.
Responsibilities
- Design and Deploy: Architect scalable machine learning models and neural networks optimized for edge computing and low-latency environments.
- Research & Innovation: Lead R&D initiatives in Reinforcement Learning and Natural Language Processing to pioneer new paradigms in synthetic cognition.
- System Integration: Collaborate with hardware engineers to integrate AI models into next-gen robotic and wearable interfaces.
- Model Optimization: Reduce inference costs and improve model accuracy through advanced quantization and pruning techniques.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI systems remain safe, transparent, and aligned with human values.
- Team Leadership: Mentor junior data scientists and ML engineers, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, 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, and C++.
- Specialized Knowledge: Experience with Large Language Models (LLMs), Transformers, or Generative Adversarial Networks (GANs).
- Problem Solving: Demonstrated ability to solve complex algorithmic problems in high-dimensional spaces.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for stakeholders.