Job Description
Are you ready to shape the future of technology?
Nexus Horizon is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we approach the technological frontier of 2026, we are building the infrastructure for the next generation of intelligent systems.
In this role, you will not just write code; you will architect the cognitive architecture of tomorrow. You will work with state-of-the-art Large Language Models (LLMs), optimize neural networks for edge devices, and ensure our AI solutions are scalable, ethical, and transformative.
Join us in defining the standard for artificial intelligence and earn your place in the history of tech innovation.
Responsibilities
- Lead Model Development: Design, train, and fine-tune advanced deep learning models, including Transformers and diffusion models, to solve complex business problems.
- System Optimization: Architect high-performance inference pipelines and optimize model latency for real-time applications.
- Research & Innovation: Stay at the bleeding edge of AI research, publishing papers and implementing novel techniques in production environments.
- Collaborative Engineering: Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver end-to-end AI solutions.
- MLOps Implementation: Build and maintain robust CI/CD pipelines for machine learning, ensuring reproducibility and automated deployment.
- Ethical AI Compliance: Ensure all AI models adhere to strict ethical guidelines and fairness standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Programming: Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Big Data: Extensive experience working with large-scale datasets (Hadoop, Spark, or distributed computing frameworks).
- Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.