Job Description
Are you ready to define the technological landscape of the next decade? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead Project 2026, our groundbreaking initiative in autonomous decision-making systems. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software engineering. You will be responsible for architecting the neural infrastructures that will power our next generation of intelligent platforms, ensuring ethical AI deployment and peak performance.
Why Nexus Horizon?
• Work with a world-class team of researchers and engineers.
• Shape the future of AI with real-world impact.
• Competitive compensation and equity packages.
• Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Architect and implement scalable deep learning models for complex, real-world applications.
- Lead the design and optimization of large language model (LLM) pipelines, focusing on inference speed and cost-efficiency.
- Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional stakeholders (Product, Engineering, Legal) to ensure AI solutions align with business goals and ethical standards.
- Conduct rigorous code reviews and establish best practices for model training, testing, and deployment.
- Stay at the forefront of AI research to integrate cutting-edge advancements into our technical stack.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
- Minimum of 8 years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Proven track record of deploying large-scale ML models to production environments.
- Strong understanding of NLP, computer vision, or reinforcement learning.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.