Job Description
Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our research and development efforts in San Francisco. As we prepare for the technological landscape of 2026, we need a leader who can architect scalable, intelligent systems that define the future of automation.
Our team is dedicated to pushing the boundaries of Generative AI and Predictive Analytics. You will be responsible for building robust machine learning pipelines that power our core products. This is an opportunity to work on high-impact projects in a collaborative, innovative environment.
Responsibilities
- Architect and deploy scalable machine learning models and AI agents for production environments.
- Conduct cutting-edge research to implement state-of-the-art algorithms and neural network architectures.
- Collaborate with cross-functional teams to define technical requirements and roadmap for 2026.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
- Optimize existing models for speed, accuracy, and resource efficiency.
- Manage the full machine learning lifecycle, from data ingestion to model deployment.
Qualifications
- PhD or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in machine learning, deep learning, or artificial intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Extensive experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.