Job Description
Join the Vanguard of Future Tech
Nexus Horizon Systems is pioneering the next generation of artificial intelligence, dedicated to building scalable, ethical, and transformative models for the year 2026 and beyond. We are looking for a visionary Senior Future Tech Architect to lead our engineering division in San Francisco.
In this pivotal role, you will architect the neural networks that define our digital future. You will work at the intersection of deep learning, generative AI, and robust cloud infrastructure. If you are passionate about pushing the boundaries of what is possible with AI and want to shape the technological landscape of tomorrow, we want to meet you.
Why Join Us?
- Competitive compensation package with equity options.
- Flexible remote-first culture with a vibrant San Francisco hub.
- Access to cutting-edge hardware and proprietary datasets.
Responsibilities
- Architect & Design: Spearhead the design and implementation of next-generation machine learning models, focusing on scalability, latency, and accuracy.
- Model Optimization: Implement advanced inference optimization techniques (e.g., quantization, pruning, and distillation) to deploy models on edge devices and cloud infrastructure.
- Research & Innovation: Conduct rigorous research into emerging AI paradigms, including Large Language Models (LLMs) and generative adversarial networks (GANs).
- MLOps Leadership: Build and maintain CI/CD pipelines for machine learning, ensuring reproducibility and automated testing of models.
- Ethical AI Compliance: Establish and enforce guidelines for bias mitigation, data privacy, and responsible AI usage.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a lead or architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Infrastructure: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex mathematical and engineering problems in high-pressure environments.
- Communication: Exceptional verbal and written communication skills, capable of translating technical concepts to cross-functional teams.