Job Description
The Future of Intelligence Starts Here.
Nova Horizon Systems is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior Generative AI Engineer to join our elite R&D team in San Francisco. In this role, you will be at the forefront of developing scalable Large Language Models (LLMs) and multimodal AI systems that will define the technological landscape of 2026 and beyond.
If you are passionate about pushing the boundaries of what's possible with deep learning, have a keen eye for architectural scalability, and want to build ethical, high-impact AI solutions, we want to hear from you.
Why Join Nova Horizon?
- Work on cutting-edge Generative AI projects that impact millions.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a vibrant office in the heart of San Francisco.
- Access to state-of-the-art compute infrastructure and research grants.
Responsibilities
- Design, develop, and optimize state-of-the-art Generative AI models (e.g., GPT-4 architecture, Diffusion Models) for enterprise applications.
- Lead the full ML lifecycle from data curation and preprocessing to model training, fine-tuning, and deployment at scale.
- Collaborate with cross-functional teams of researchers, engineers, and product managers to translate business requirements into technical AI solutions.
- Implement robust MLOps pipelines to ensure model reliability, monitoring, and continuous learning in production environments.
- Conduct rigorous research into novel architectures and algorithms to maintain a competitive edge in the rapidly evolving AI landscape.
- Ensure AI systems adhere to ethical guidelines and safety standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 5 years of professional experience in machine learning, deep learning, or natural language processing.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying large-scale models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and high-performance computing.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.