Job Description
Are you ready to shape the technology landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI & Machine Learning Architect to lead our next-generation research and deployment initiatives. We are building the foundational systems that will power intelligent applications for the future, and we need a technical leader who thrives on complexity and innovation.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will define the architectural strategy for our neural networks, optimize deep learning pipelines, and mentor a team of world-class engineers.
Why Nexus Horizon?
- Future-Ready Technology: Work on cutting-edge models designed for the 2026 era of AI.
- Competitive Compensation: We offer a top-tier salary package plus equity.
- Remote-First Culture: Flexibility to work from anywhere in the US.
Join us in defining the future of intelligent systems.
Responsibilities
- Design and architect scalable machine learning infrastructure capable of handling petabytes of data.
- Lead the research and development of advanced neural network architectures, including Transformers and Graph Neural Networks.
- Optimize model performance for low-latency inference in high-traffic production environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Establish best practices for MLOps, CI/CD, and model monitoring.
- Conduct rigorous code reviews and technical mentoring for junior and mid-level engineers.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- Minimum of 5+ years of experience in designing and deploying large-scale machine learning systems.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of improving model accuracy and reducing inference latency.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.