Job Description
Are you ready to define the next generation of Artificial Intelligence?
At Nexus Horizon Systems, we are not just building software; we are architecting the intelligence infrastructure that will power the year 2026 and beyond. We are looking for a visionary Senior AI Engineer to join our elite R&D division in San Francisco.
In this role, you will lead the development of cutting-edge Generative Models and Large Language Models (LLMs) that push the boundaries of what is possible. If you are passionate about solving complex problems and want to leave a legacy in the tech landscape, this is your opportunity to shape the future.
Why Join Us?
- Work on state-of-the-art AI research and production deployment.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a high-end office in the heart of SF.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Model Development: Design, train, and fine-tune advanced machine learning models, including LLMs and generative AI systems, ensuring high accuracy and low latency.
- System Architecture: Architect scalable machine learning pipelines and infrastructure to handle millions of concurrent requests efficiently.
- Research & Innovation: Conduct research to stay ahead of industry trends, exploring novel algorithms and optimization techniques for 2026 standards.
- Code Quality: Write clean, maintainable, and well-documented Python code, adhering to industry best practices and CI/CD standards.
- Mentorship: Guide and mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Deployment: Collaborate with MLOps engineers to deploy models to production environments using Kubernetes and Docker.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in software engineering and machine learning, specifically with Python and deep learning frameworks.
- Technical Skills: Proficiency in PyTorch, TensorFlow, or JAX; extensive experience with LLMs (Hugging Face, OpenAI API, etc.).
- Mathematical Proficiency: Strong understanding of linear algebra, calculus, and probability/statistics.
- Problem Solving: Ability to tackle ambiguous problems and derive innovative solutions in a fast-paced startup environment.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.