Job Description
Shape the Future of Intelligence
Nexus Horizon AI is pioneering the next generation of Artificial Intelligence. As we approach our 2026 Vision, we are seeking a visionary Senior AI & Machine Learning Engineer to lead the development of our flagship Generative AI platform.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will be instrumental in building the algorithms that power autonomous decision-making systems, ensuring they are ethical, scalable, and transformative. If you are passionate about the frontier of technology and want to define the standards for AI in the 2026 era, this is your opportunity.
Why Join Us?
• Work on cutting-edge Generative AI and LLMs.
• Competitive compensation and equity package.
• Flexible remote-first culture with office hubs in SF.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models, including Transformers and diffusion models, tailored for specific industry applications.
- Infrastructure Optimization: Build and maintain robust MLOps pipelines to ensure models are deployed efficiently, monitored, and retrained automatically.
- Research & Innovation: Stay at the forefront of the AI landscape, exploring new architectures and techniques to push the boundaries of what is possible.
- Collaboration: Partner with cross-functional teams of data scientists, product managers, and engineers to translate complex AI concepts into user-friendly products.
- Ethical AI: Implement best practices for fairness, transparency, and accountability in AI systems to ensure responsible deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Technical Skills: Strong proficiency in Python, PyTorch, or TensorFlow. Experience with Hugging Face Transformers is highly preferred.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Cloud Expertise: Proven track record of deploying models on major cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Exceptional ability to solve complex mathematical and algorithmic problems under pressure.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.