Job Description
Shape the Future of Intelligence
Nexus Future Systems is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Engineer: 2026 Horizon to architect scalable machine learning solutions that will define the technological landscape of the coming decade.
In this high-impact role, you will lead the development of cutting-edge AI models, optimize deep learning infrastructures, and collaborate with world-class engineers to solve complex problems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Nexus Future Systems?
- Work on transformative AI projects with real-world impact.
- Competitive compensation package including equity.
- Flexible hybrid work model in the heart of San Francisco.
- Access to the latest hardware and cloud resources.
Responsibilities
- Design, implement, and deploy scalable machine learning models and neural networks using Python and modern frameworks.
- Lead the architecture of data pipelines and infrastructure to support real-time processing and high-volume data ingestion.
- Conduct research to implement novel algorithms that improve model accuracy, efficiency, and interpretability.
- Collaborate with cross-functional product teams to translate business requirements into technical specifications.
- Mentor junior engineers and conduct technical code reviews to ensure code quality and adherence to best practices.
- Optimize existing systems for latency, throughput, and cost-effectiveness in cloud environments.
- Stay abreast of the latest advancements in AI research and apply relevant innovations to our projects.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field (or equivalent practical experience).
- Minimum of 5 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Deep understanding of Natural Language Processing (NLP) or Computer Vision (CV) methodologies.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience in Agile/Scrum development environments.