Job Description
We are on the precipice of a technological singularity. The year 2026 is not just a target date; it is a mandate. Horizon Systems is seeking a visionary Senior Machine Learning Engineer to lead our core architecture team.
In this role, you won't just be deploying models; you will be engineering the foundational infrastructure for the next decade. If you possess a deep understanding of generative AI, predictive latency, and ethical AI governance, this is your chance to define the future of intelligent computing.
Why Join Us?
Our mission is to build the operating system for the 2026 era. We offer a competitive compensation package, equity packages, and the opportunity to work with the brightest minds in the industry. You will have full autonomy to design systems that push the boundaries of what is currently possible.
Responsibilities
- Architect and deploy large-scale generative AI models optimized for the 2026 computational landscape.
- Lead the integration of edge computing with centralized neural networks to minimize latency.
- Define the ethical framework and bias mitigation strategies for autonomous decision-making systems.
- Collaborate with cross-functional teams to translate the '2026 Vision' into scalable software solutions.
- Optimize model training pipelines using next-gen GPU architectures and distributed computing.
- Mentor junior engineers and establish best practices for AI safety and reproducibility.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning engineering, with a focus on NLP or Computer Vision.
- Proven track record of deploying production-ready AI systems at scale.
- Deep understanding of quantum computing concepts and their potential application to ML algorithms.
- Strong grasp of data privacy laws and ethical AI principles.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).