Job Description
Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation algorithms targeting the pivotal year of 2026. We are not just predicting the future; we are building the infrastructure to support it.
In this role, you will spearhead the research and implementation of cutting-edge machine learning systems designed to solve complex, high-volume problems. You will be working at the intersection of generative AI, neural architecture search, and scalable cloud infrastructure. This is an opportunity to work with a world-class team on projects that will define the technological landscape of the coming decade.
Why Join Us?
- Work on high-impact projects that define the 2026 tech roadmap.
- Competitive compensation package including equity and bonuses.
- Top-tier health benefits and continuous learning budget.
- Flexible remote-first policy with access to state-of-the-art facilities in SF.
Responsibilities
- Design and deploy scalable machine learning models tailored for 2026 enterprise needs and global infrastructure.
- Lead research initiatives in generative AI, reinforcement learning, and predictive analytics.
- Collaborate with quantum computing researchers to optimize hybrid algorithms for future computing hardware.
- Oversee codebase integrity, ensuring best practices for security, scalability, and performance.
- Mentor a team of top-tier engineers and data scientists, fostering a culture of innovation.
- Translate complex technical requirements into robust, production-ready software solutions.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 8+ years of experience in software engineering, specifically in AI/ML and Deep Learning.
- Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face ecosystems.
- Proven track record of leading large-scale machine learning projects from conception to production.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps pipelines.
- Excellent communication skills and a passion for pushing technological boundaries.